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no title author magazine year volume issue page(s) type
1 About the Kohonen Algorithm: Strong or Weak Self-organization? Fort, Jean-Claude
1996
29-30 5 p. 773-785
13 p.
article
2 A coded block adaptive neural network system with a radical-partitioned structure for large-volume Chinese characters recognition Mao, Mark W.
1992
29-30 5 p. 835-841
7 p.
article
3 A combined evolution method for associative memory networks Cheng, Andrew C.C.
1998
29-30 5 p. 785-792
8 p.
article
4 A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders Bounds, David G.
1990
29-30 5 p. 583-591
9 p.
article
5 A computational neural model of goal-directed utterance selection Klein, Michael
2010
29-30 5 p. 592-606
15 p.
article
6 A continuous input RAM-based stochastic neural model Gorse, Denise
1991
29-30 5 p. 657-665
9 p.
article
7 A Cortical-type Modular Neural Network for Hypothetical Reasoning Koerner, Edgar
1997
29-30 5 p. 791-814
24 p.
article
8 Acquisition and decay rates in synaptically coded memory Clark, David M
1990
29-30 5 p. 525-533
9 p.
article
9 Adaptive control of nonlinear multivariable systems using neural networks Narendra, Kumpati S.
1994
29-30 5 p. 737-752
16 p.
article
10 Adaptive critics for dynamic optimization Kulkarni, Raghavendra V.
2010
29-30 5 p. 587-591
5 p.
article
11 Adaptive neural oscillator using continuous-time back-propagation learning Doya, Kenji
1989
29-30 5 p. 375-385
11 p.
article
12 Adaptive response organizer network for space–time patterns in low level vision Navabi, Homayoun
1998
29-30 5 p. 825-836
12 p.
article
13 A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network Raymond, Jennifer L.
1992
29-30 5 p. 789-803
15 p.
article
14 A learning rule for very simple universal approximators consisting of a single layer of perceptrons Auer, Peter
2008
29-30 5 p. 786-795
10 p.
article
15 A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models Kaske, Alexander
2006
29-30 5 p. 600-609
10 p.
article
16 A model of contour extraction including multiple scales, flexible inhibition and attention La Cara, Giuseppe-Emiliano
2008
29-30 5 p. 759-773
15 p.
article
17 A model of surround suppression through cortical feedback Sullivan, Thomas J.
2006
29-30 5 p. 564-572
9 p.
article
18 A modular neural network architecture for step-wise learning of grasping tasks Molina-Vilaplana, J.
2007
29-30 5 p. 631-645
15 p.
article
19 A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations Wang, Jun
1998
29-30 5 p. 939-950
12 p.
article
20 An adaptive incremental LBG for vector quantization Shen, F.
2006
29-30 5 p. 694-704
11 p.
article
21 Analysing a Self-organising Algorithm Flanagan, John A.
1997
29-30 5 p. 875-883
9 p.
article
22 Analysis of the Recalling Processes of Associative Memory by an Integral Representation of the Sign Function KOYAMA, HIDEYUKI
1996
29-30 5 p. 737-746
10 p.
article
23 An analysis of premature saturation in back propagation learning Lee, Youngjik
1993
29-30 5 p. 719-728
10 p.
article
24 An efficient MDL-based construction of RBF networks Leonardis, Aleš
1998
29-30 5 p. 963-973
11 p.
article
25 A neural net algorithm for multidimensional maximum entropy spectrum estimation Zhuang, Xinhua
1991
29-30 5 p. 619-626
8 p.
article
26 A neural network approach to character recognition Rajavelu, A.
1989
29-30 5 p. 387-393
7 p.
article
27 A neural network capable of forming associations by example Hartstein, A.
1989
29-30 5 p. 395-403
9 p.
article
28 A neural network for the estimation of forces acting on radar targets Abutaleb, Ahmed S.
1991
29-30 5 p. 667-678
12 p.
article
29 A Neural Network model in stereovision matching Cruz, Jesús M.
1995
29-30 5 p. 805-813
9 p.
article
30 A neural network predicting posterior parietal cortex function in the control of goal-directed arm movements Bock, Otmar
1989
29-30 5 p. 351-358
8 p.
article
31 A neural network that self-organizes to perform three operations related to principal component analysis Matsuoka, Kiyotoshi
1994
29-30 5 p. 753-765
13 p.
article
32 A neural support vector machine Jändel, Magnus
2010
29-30 5 p. 607-613
7 p.
article
33 A new approach for finding the global minimum of error function of neural networks Baba, Norio
1989
29-30 5 p. 367-373
7 p.
article
34 A New Approach to the Analysis of Multidimensional Neuronal Activity: Markov Random Fields Makarenko, Vladimir I
1997
29-30 5 p. 785-789
5 p.
article
35 A New Neural Model for Invariant Pattern Recognition Lin, Wen-Gou
1996
29-30 5 p. 899-913
15 p.
article
36 A new neural network for solving nonlinear projection equations Xia, Youshen
2007
29-30 5 p. 577-589
13 p.
article
37 An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation Lim, Chee Peng
1997
29-30 5 p. 925-939
15 p.
article
38 A Numerical Implementation of Kolmogorov's Superpositions Sprecher, David A.
1996
29-30 5 p. 765-772
8 p.
article
39 Approximation of functions by perceptron networks with bounded number of hidden units Kůrková, Věra
1995
29-30 5 p. 745-750
6 p.
article
40 Architectural and Markovian factors of echo state networks Gallicchio, Claudio
2011
29-30 5 p. 440-456
17 p.
article
41 A recurrent neural network controller and learning algorithm for the on-line learning control of autonomous underwater vehicles Venugopal, K.P.
1994
29-30 5 p. 833-846
14 p.
article
42 A Regularity Condition of the Information Matrix of a Multilayer Perceptron Network Fukumizu, Kenji
1996
29-30 5 p. 871-879
9 p.
article
43 ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network Carpenter, Gail A.
1991
29-30 5 p. 565-588
24 p.
article
44 Auto-associative memory produced by disinhibition in a sparsely connected network Vogel, David D.
1998
29-30 5 p. 897-908
12 p.
article
45 Averaged neural networks Burton, T.A.
1993
29-30 5 p. 677-680
4 p.
article
46 Back propagation with expected source values Samad, Tariq
1991
29-30 5 p. 615-618
4 p.
article
47 Book review 1998
29-30 5 p. 975-976
2 p.
article
48 Bottom-up visual image processing probed with weighted hermite polynomials Yang, Jian
1995
29-30 5 p. 669-691
23 p.
article
49 Call for papers 2007
29-30 5 p. OBC-
1 p.
article
50 1991 Call for Papers for SPIE Conference on Visual Information Processing: From Neurons to Chips 1990
29-30 5 p. 607-
1 p.
article
51 Capacity analysis for a two-level decoupled Hamming network for associative memory under a noisy environment Chen, Liang
2007
29-30 5 p. 598-609
12 p.
article
52 Chaotic Potts Spin Model for Combinatorial Optimization Problems Ishii, Shin
1997
29-30 5 p. 941-963
23 p.
article
53 Characterization of a Class of Sigmoid Functions with Applications to Neural Networks Menon, Anil
1996
29-30 5 p. 819-835
17 p.
article
54 Classification of temporal trajectories by continuous-time recurrent nets Sotelino, Luis Gonzalez
1994
29-30 5 p. 767-776
10 p.
article
55 Combining the results of several neural network classifiers Rogova, Galina
1994
29-30 5 p. 777-781
5 p.
article
56 Comparison of relevance learning vector quantization with other metric adaptive classification methods Villmann, Th.
2006
29-30 5 p. 610-622
13 p.
article
57 Concerning the differentiability of the energy function in vector quantization algorithms Lepetz, Dominique
2007
29-30 5 p. 621-630
10 p.
article
58 Conferences on Neural Networks and Related Topics 1991
29-30 5 p. 693-699
7 p.
article
59 Conferences on neural networks and related topics 1992
29-30 5 p. 859-867
9 p.
article
60 Conferences on neural networks and related topics 1993
29-30 5 p. 741-752
12 p.
article
61 Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings White, Halbert
1990
29-30 5 p. 535-549
15 p.
article
62 Conserving total synaptic weight ensures one-trial sequence learning of place fields in the hippocampus Wu, Zhihua
2006
29-30 5 p. 547-563
17 p.
article
63 Convergent activation dynamics in continuous time networks Hirsch, Morris W.
1989
29-30 5 p. 331-349
19 p.
article
64 1991 Course Neural Networks: From Foundations to Applications May 5–10, 1991 1990
29-30 5 p. 608-
1 p.
article
65 Current Events 2010
29-30 5 p. I-III
nvt p.
article
66 Current Events 2008
29-30 5 p. I-III
nvt p.
article
67 Current Events 2007
29-30 5 p. I-II
nvt p.
article
68 Current Events 2006
29-30 5 p. I-V
nvt p.
article
69 Current Events 2011
29-30 5 p. I-III
nvt p.
article
70 Current events 1995
29-30 5 p. 829-832
4 p.
article
71 Design of a multiple kernel learning algorithm for LS-SVM by convex programming Jian, Ling
2011
29-30 5 p. 476-483
8 p.
article
72 Detecting systematic structure in distributed representations Browne, Antony
1998
29-30 5 p. 815-824
10 p.
article
73 Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability Schmidhuber, Jürgen
1997
29-30 5 p. 857-873
17 p.
article
74 Distributed ARTMAP: a neural network for fast distributed supervised learning 1 Technical Report CAS/CNS TR-97-026, Boston, MA: Boston University. 1 Carpenter, Gail A.
1998
29-30 5 p. 793-813
21 p.
article
75 Dynamics of neural networks with variable coefficients and time-varying delays Jiang, Haijun
2006
29-30 5 p. 676-683
8 p.
article
76 Editorial Board 2010
29-30 5 p. IFC-
1 p.
article
77 Editorial Board 2008
29-30 5 p. IFC-
1 p.
article
78 Editorial Board 2007
29-30 5 p. IFC-
1 p.
article
79 Editorial Board 2011
29-30 5 p. IFC-
1 p.
article
80 Editorial Board/Publication Information 2006
29-30 5 p. CO2-
1 p.
article
81 Efficient exploration through active learning for value function approximation in reinforcement learning Akiyama, Takayuki
2010
29-30 5 p. 639-648
10 p.
article
82 Eigenspace Separation of Autocorrelation Memory Matrices for Capacity Expansion Kakeya, Hideki
1997
29-30 5 p. 833-843
11 p.
article
83 Emergence of attention within a neural population Rougier, Nicolas P.
2006
29-30 5 p. 573-581
9 p.
article
84 Emerging dynamics in neuronal networks of diffusively coupled hard oscillators Ponta, L.
2011
29-30 5 p. 466-475
10 p.
article
85 Encoding uncertainty in the hippocampus Harrison, L.M.
2006
29-30 5 p. 535-546
12 p.
article
86 Energy functions for minimizing misclassification error with minimum-complexity networks Telfer, Brian A.
1994
29-30 5 p. 809-817
9 p.
article
87 Errata 1992
29-30 5 p. 857-
1 p.
article
88 Error estimation in the neural network solution of ordinary differential equations Filici, Cristian
2010
29-30 5 p. 614-617
4 p.
article
89 Existence and global exponential stability of a periodic solution to interval general bidirectional associative memory (BAM) neural networks with multiple delays on time scales Zhang, Zhengqiu
2011
29-30 5 p. 427-439
13 p.
article
90 Experimental study of electrical FitzHugh–Nagumo neurons with modified excitability Binczak, Stéphane
2006
29-30 5 p. 684-693
10 p.
article
91 Exponential stability and a systematic synthesis of a neural network for quadratic minimization Sudharsanan, Subramania I.
1991
29-30 5 p. 599-613
15 p.
article
92 Extracting algorithms from pattern classification neural networks Abe, Shigeo
1993
29-30 5 p. 729-735
7 p.
article
93 Extraction of visual motion and optic flow Fukushima, Kunihiko
2008
29-30 5 p. 774-785
12 p.
article
94 Fast generating algorithm for a general three-layer perceptron Zollner, R.
1992
29-30 5 p. 771-777
7 p.
article
95 1991 Fifth International Parallel Processing Symposium 1990
29-30 5 p. 607-
1 p.
article
96 Gaussian ARTMAP: A Neural Network for Fast Incremental Learning of Noisy Multidimensional Maps Williamson, James R.
1996
29-30 5 p. 881-897
17 p.
article
97 Global exponential stability of generalized recurrent neural networks with discrete and distributed delays Liu, Yurong
2006
29-30 5 p. 667-675
9 p.
article
98 Global exponential stability of interval general BAM neural networks with reaction–diffusion terms and multiple time-varying delays Zhang, Zhengqiu
2011
29-30 5 p. 457-465
9 p.
article
99 Granular self-organizing map (grSOM) for structure identification Kaburlasos, Vassilis G.
2006
29-30 5 p. 623-643
21 p.
article
100 Handbook of intelligent control: Neural, fuzzy, and adaptive approaches Fiala, John
1994
29-30 5 p. 851-852
2 p.
article
101 Handwritten numeral recognition using a small number of fuzzy rules with optimized defuzzification parameters Chi, Zheru
1995
29-30 5 p. 821-827
7 p.
article
102 Hebbian learning in linear–nonlinear networks with tuning curves leads to near-optimal, multi-alternative decision making McMillen, Tyler
2011
29-30 5 p. 417-426
10 p.
article
103 How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies Lin, Tsungnan
1998
29-30 5 p. 861-868
8 p.
article
104 1990 IEEE Conference: Neural Information Processing Systems: Natural and Synthetic 1990
29-30 5 p. 607-
1 p.
article
105 Image processing and pattern recognition in ultrasonograms by backpropagation Silverman, Ronald H.
1990
29-30 5 p. 593-603
11 p.
article
106 Informational Capacity and Recall Quality in Sparsely Encoded Hopfield-like Neural Network: Analytical Approaches and Computer Simulation Frolov, Alexander A.
1997
29-30 5 p. 845-855
11 p.
article
107 Information storage capacity of incompletely connected associative memories Bosch, Holger
1998
29-30 5 p. 869-876
8 p.
article
108 Inhibitory connections in the assembly neural network for texture segmentation Goltsev, Alexander
1998
29-30 5 p. 951-962
12 p.
article
109 INNS/ENNS/JNNS — Membership application form 1993
29-30 5 p. I-
1 p.
article
110 INNS officers and governing board 1990
29-30 5 p. I-
1 p.
article
111 Integrating support vector machines and neural networks Capparuccia, Rosario
2007
29-30 5 p. 590-597
8 p.
article
112 Investigation of the CasCor Family of Learning Algorithms Prechelt, Lutz
1997
29-30 5 p. 885-896
12 p.
article
113 Iterated Function Systems as neural networks Stark, Jaroslav
1991
29-30 5 p. 679-690
12 p.
article
114 Kick-out learning algorithm to reduce the oscillation of weights Ochiai, Keihiro
1994
29-30 5 p. 797-807
11 p.
article
115 Learning and Forgetting in Generalized Brain-state-in-a-box (BSB) Neural Associative Memories Żak, Stanislaw H.
1996
29-30 5 p. 845-854
10 p.
article
116 Learning fuzzy decision trees Apolloni, Bruno
1998
29-30 5 p. 885-895
11 p.
article
117 Learning parametric dynamic movement primitives from multiple demonstrations Matsubara, Takamitsu
2011
29-30 5 p. 493-500
8 p.
article
118 Learning to imitate stochastic time series in a compositional way by chaos Namikawa, Jun
2010
29-30 5 p. 625-638
14 p.
article
119 Least mean square error reconstruction principle for self-organizing neural-nets Xu, Lei
1993
29-30 5 p. 627-648
22 p.
article
120 Lee-Associator—a chaotic auto-associative network for progressive memory recalling Lee, Raymond S.T.
2006
29-30 5 p. 644-666
23 p.
article
121 Letters to the editor Brown, Dale A.
1993
29-30 5 p. 607-608
2 p.
article
122 Letters to the editor Weymaere, Nico
1993
29-30 5 p. 611-
1 p.
article
123 Letters to the editor Korn, Alexander
1993
29-30 5 p. 608-
1 p.
article
124 Letter to the editor Stork, David G.
1993
29-30 5 p. 609-
1 p.
article
125 Linear programming algorithm for neural networks Shawe-Taylor, John S.
1990
29-30 5 p. 575-582
8 p.
article
126 Linear redundancy reduction learning Deco, G.
1995
29-30 5 p. 751-755
5 p.
article
127 Local conditions for phase transitions in neural networks with variable connection strengths McFadden, Frank E.
1993
29-30 5 p. 667-676
10 p.
article
128 Local online learning of coherent information Der, Ralf
1998
29-30 5 p. 909-925
17 p.
article
129 Lorentzian neural nets Giraud, B.G.
1995
29-30 5 p. 757-767
11 p.
article
130 Machine learning approach to color constancy Agarwal, Vivek
2007
29-30 5 p. 559-563
5 p.
article
131 Mathematical conditions for adaptive control in Marr's model of the sensorimotor system Chauvet, Pierre
1995
29-30 5 p. 693-706
14 p.
article
132 Model-based neural networks Caelli, Terry M.
1993
29-30 5 p. 613-625
13 p.
article
133 Modelling brain emergent behaviours through coevolution of neural agents Maniadakis, Michail
2006
29-30 5 p. 705-720
16 p.
article
134 Motion induced transformations of spatial representations: Mapping 3d information onto 2d Hartmann, Georg
1992
29-30 5 p. 823-834
12 p.
article
135 Multilayer cluster neural network for totally unconstrained handwritten numeral recognition Lee, Seong-Whan
1995
29-30 5 p. 783-792
10 p.
article
136 Multilayer feedforward networks are universal approximators Hornik, Kurt
1989
29-30 5 p. 359-366
8 p.
article
137 Multilayer perceptron tumour diagnosis based on chromatography analysis of urinary nucleosides Seidel, P.
2007
29-30 5 p. 646-651
6 p.
article
138 Natural learning in NLDA networks González, Ana
2007
29-30 5 p. 610-620
11 p.
article
139 Naturally intelligent systems 1990
29-30 5 p. 605-606
2 p.
article
140 Network with shunting synapses as a non-linear frequency modulator Kochubey, Sergiy
2011
29-30 5 p. 407-416
10 p.
article
141 Neural closure associative processor Telfer, Brian
1991
29-30 5 p. 589-598
10 p.
article
142 Neural network architectures for motion perception and elementary motion detection in the fly visual system Öǧmen, H.
1990
29-30 5 p. 487-505
19 p.
article
143 Neural network tomography: Network replication from output surface geometry Minnett, Rupert C.J.
2011
29-30 5 p. 484-492
9 p.
article
144 Neurocomputing: Foundations of Research Mingolla, Ennio
1989
29-30 5 p. 405-409
5 p.
article
145 Neuronal networks with spontaneous, correlated bursting activity: Theory and simulations Kowalski, Jacek M.
1992
29-30 5 p. 805-822
18 p.
article
146 New study on neural networks: the essential order of approximation Wang, Jianjun
2010
29-30 5 p. 618-624
7 p.
article
147 [No title] Barnden, John
1992
29-30 5 p. 853-855
3 p.
article
148 [No title] Elsberry, Wesley R.
1993
29-30 5 p. 737-739
3 p.
article
149 N-tuple Regression Network Kolcz, Aleksander
1996
29-30 5 p. 855-869
15 p.
article
150 Of bits and wows: A Bayesian theory of surprise with applications to attention Baldi, Pierre
2010
29-30 5 p. 649-666
18 p.
article
151 Online dimensionality reduction using competitive learning and Radial Basis Function network Tomenko, Vladimir
2011
29-30 5 p. 501-511
11 p.
article
152 On probabilistic invariance Lenz, Reiner
1991
29-30 5 p. 627-641
15 p.
article
153 On the complexity of approximating mappings using feedforward networks Koiran, Pascal
1993
29-30 5 p. 649-653
5 p.
article
154 On the network-based emulation of human visual search Gerrissen, Jack F.
1991
29-30 5 p. 543-564
22 p.
article
155 Optical character recognition by a neural network Sabourin, Michael
1992
29-30 5 p. 843-852
10 p.
article
156 Optimal decision network with distributed representation Bogacz, Rafal
2007
29-30 5 p. 564-576
13 p.
article
157 Optimal filtering algorithms for fast learning in feedforward neural networks Shah, Samir
1992
29-30 5 p. 779-787
9 p.
article
158 Optimization of space structures by neural dynamics Adeli, Hojjat
1995
29-30 5 p. 769-781
13 p.
article
159 Optimization of the hidden unit function in feedforward neural networks Fujita, Osamu
1992
29-30 5 p. 755-764
10 p.
article
160 Parity with two layer feedforward nets Minor, J.M.
1993
29-30 5 p. 705-707
3 p.
article
161 Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary Tian, Xiaodong
1997
29-30 5 p. 897-906
10 p.
article
162 Perturbation response in feedforward networks Minai, Ali A.
1994
29-30 5 p. 783-796
14 p.
article
163 Quantum inspired PSO for the optimization of simultaneous recurrent neural networks as MIMO learning systems Luitel, Bipul
2010
29-30 5 p. 583-586
4 p.
article
164 Real-time neural computation of the maximum likelihood criterion for bearing estimation problems Fa-Long, Luo
1992
29-30 5 p. 765-769
5 p.
article
165 Representation and processing in a stochastic neural network: An integrated approach Van Hulle, M.M.
1991
29-30 5 p. 643-655
13 p.
article
166 1991 Research Conference Neural Networks for Vision and Image Processing May 10–12, 1991 1990
29-30 5 p. 608-
1 p.
article
167 Response to letter by E. V. Krishnamurthy Judd, Kevin T.
1994
29-30 5 p. 848-849
2 p.
article
168 Response to letter by N. Weymaere van Ooyen, A.
1993
29-30 5 p. 611-612
2 p.
article
169 1991 Second Australian Conference on Neural Networks (ACNN '91) 1990
29-30 5 p. 607-
1 p.
article
170 Self-similar Neural Networks Based on a Kohonen Learning Rule Clippingdale, Simon
1996
29-30 5 p. 747-763
17 p.
article
171 Separability of internal representations in multilayer perceptrons with application to learning Takahashi, Haruhisa
1993
29-30 5 p. 689-703
15 p.
article
172 Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms Pal, Nikhil R.
1996
29-30 5 p. 787-796
10 p.
article
173 Single Neuron with Recurrent Excitation: Effect of the Transmission Delay Pakdaman, Khashayar
1996
29-30 5 p. 797-818
22 p.
article
174 Singular-continuous nowhere-differentiable attractors in neural systems Tsuda, Ichiro
1998
29-30 5 p. 927-937
11 p.
article
175 Small networks of empirically derived adaptive elements simulate some higher-order features of classical conditioning Buonomano, Dean V.
1990
29-30 5 p. 507-523
17 p.
article
176 SOVEREIGN: An autonomous neural system for incrementally learning planned action sequences to navigate towards a rewarded goal Gnadt, William
2008
29-30 5 p. 699-758
60 p.
article
177 Speed-accuracy trade-off in planned arm movements with delayed feedback Beamish, D.
2006
29-30 5 p. 582-599
18 p.
article
178 Stable, oscillatory, and chaotic regimes in the dynamics of small neural networks with delay Chapeau-Blondeau, François
1992
29-30 5 p. 735-743
9 p.
article
179 Static and dynamic stabilizing neural controllers, applicable to transition between equilibrium points Suykens, Johan A.K.
1994
29-30 5 p. 819-831
13 p.
article
180 Statistical analysis of self-organization Mulier, Filip M.
1995
29-30 5 p. 717-727
11 p.
article
181 Statistical basis of nonlinear hebbian learning and application to clustering Sudjianto, Agus
1995
29-30 5 p. 707-715
9 p.
article
182 Statistical estimation of the number of hidden units for feedforward neural networks Fujita, Osamu
1998
29-30 5 p. 851-859
9 p.
article
183 Strongly diluted networks with selfinteraction Englisch, Harald
1993
29-30 5 p. 681-688
8 p.
article
184 Subconnection neural network for event-driven temporal sequence processing Shimohara, Katsunori
1993
29-30 5 p. 709-718
10 p.
article
185 SuperSAB: Fast adaptive back propagation with good scaling properties Tollenaere, Tom
1990
29-30 5 p. 561-573
13 p.
article
186 The emperor's new mind Stowell, Hilton
1991
29-30 5 p. 691-
1 p.
article
187 The extended piecewise quadratic neural network Weber, David M.
1998
29-30 5 p. 837-850
14 p.
article
188 The Local Structure of Space-variant Images Fischl, Bruce
1997
29-30 5 p. 815-831
17 p.
article
189 The N-N-N conjecture in ART1 Georgiopoulos, Michael
1992
29-30 5 p. 745-753
9 p.
article
190 The “off line learning approximation” in continuous time neural networks: An adiabatic theorem Benaim, Michel
1993
29-30 5 p. 655-665
11 p.
article
191 The optimal encodings for biased association in linear associative memories Leung, Yee
1998
29-30 5 p. 877-884
8 p.
article
192 Theoretical mechanics of biological neural networks Softky, William R.
1994
29-30 5 p. 853-856
4 p.
article
193 Training Dynamics and Neural Network Performance Wilson, Charles L.
1997
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195 Two soft relatives of learning vector quantization Bezdek, James C.
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196 Uniform Approximation and Gamma Networks Sandberg, Irwin W.
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197 Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks Hornik, Kurt
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198 Unsolvability, complexity, and neural networks Krishnamurthy, E.V.
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199 Using Features for the Storage of Patterns in a Fully Connected Net Coombes, S.
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200 Using neural networks to improve classification: Application to brain maturation Moreno, Lorenzo
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201 Using recurrent neural networks to learn the structure of interconnection networks Goudreau, Mark W.
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                             201 results found
 
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