nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
AANN: an alternative to GMM for pattern recognition
|
Yegnanarayana, B. |
|
2002 |
29-30 |
3 |
p. 459-469 11 p. |
artikel |
2 |
Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays
|
Cao, Jinde |
|
2004 |
29-30 |
3 |
p. 379-390 12 p. |
artikel |
3 |
Absolutely exponential stability of a class of neural networks with unbounded delay
|
Zhang, Jiye |
|
2004 |
29-30 |
3 |
p. 391-397 7 p. |
artikel |
4 |
A connectionist model for convex-hull of a planar set
|
Datta, A. |
|
2000 |
29-30 |
3 |
p. 377-384 8 p. |
artikel |
5 |
A control model of the movement of attention
|
Taylor, J.G. |
|
2002 |
29-30 |
3 |
p. 309-326 18 p. |
artikel |
6 |
Acoustic binaural correspondence used for localization of natural acoustic signals
|
Arad, Nur |
|
1994 |
29-30 |
3 |
p. 441-447 7 p. |
artikel |
7 |
Activity in sparsely connected excitatory neural networks: effect of connectivity
|
Pham, Joël |
|
1998 |
29-30 |
3 |
p. 415-434 20 p. |
artikel |
8 |
Adaptive learning via selectionism and Bayesianism, Part I: Connection between the two
|
Zhang, Jun |
|
2009 |
29-30 |
3 |
p. 220-228 9 p. |
artikel |
9 |
Adaptive learning via selectionism and Bayesianism, Part II: The sequential case
|
Zhang, Jun |
|
2009 |
29-30 |
3 |
p. 229-236 8 p. |
artikel |
10 |
Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale
|
Marshall, Jonathan A. |
|
1995 |
29-30 |
3 |
p. 335-362 28 p. |
artikel |
11 |
Adaptive resonance associative map
|
Tan, Ah-Hwee |
|
1995 |
29-30 |
3 |
p. 437-446 10 p. |
artikel |
12 |
A deterministic annealing algorithm for approximating a solution of the max-bisection problem
|
Dang, Chuangyin |
|
2002 |
29-30 |
3 |
p. 441-458 18 p. |
artikel |
13 |
A dynamically coupled neural oscillator network for image segmentation
|
Chen, Ke |
|
2002 |
29-30 |
3 |
p. 423-439 17 p. |
artikel |
14 |
A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method
|
Xia, Youshen |
|
2010 |
29-30 |
3 |
p. 396-405 10 p. |
artikel |
15 |
A fast and robust learning algorithm for feedforward neural networks
|
Weymaere, Nico |
|
1991 |
29-30 |
3 |
p. 361-369 9 p. |
artikel |
16 |
A fruitful blend, or a trinket-box? A book review of The MIT Encyclopedia of the Cognitive Sciences. R.A. Wilson, F.C. Keil (Eds.); MIT Press, Cambridge, MA, 1999, 964 pp., ISBN 0-262-73124-X, US$ 149.95
|
Raizada, Rajeev D.S |
|
2000 |
29-30 |
3 |
p. 397-398 2 p. |
artikel |
17 |
A Function of Neural Networks Generating End- and Side-inhibition in the Primary Visual Cortex
|
Sagawa, Yasuhiro |
|
1997 |
29-30 |
3 |
p. 423-429 7 p. |
artikel |
18 |
A global learning algorithm for a RBF network
|
Zhu, Qiuming |
|
1999 |
29-30 |
3 |
p. 527-540 14 p. |
artikel |
19 |
A high performance k-NN approach using binary neural networks
|
Hodge, Victoria J. |
|
2004 |
29-30 |
3 |
p. 441-458 18 p. |
artikel |
20 |
A hybrid CPG–ZMP control system for stable walking of a simulated flexible spine humanoid robot
|
Or, Jimmy |
|
2010 |
29-30 |
3 |
p. 452-460 9 p. |
artikel |
21 |
A local and neurobiologically plausible method of learning correlated patterns
|
Athithan, Gopalasamy |
|
2002 |
29-30 |
3 |
p. 327-335 9 p. |
artikel |
22 |
A massively parallel resistive network for “weak rod”: A double-layer architecture with nearest-neighbor connections
|
Matsumoto, Takashi |
|
1996 |
29-30 |
3 |
p. 523-541 19 p. |
artikel |
23 |
A method for self-determination of adaptive learning rates in back propagation
|
Weir, Michael K. |
|
1991 |
29-30 |
3 |
p. 371-379 9 p. |
artikel |
24 |
A minimum error neural network (MNN)
|
Musavi, M.T. |
|
1993 |
29-30 |
3 |
p. 397-407 11 p. |
artikel |
25 |
A model-based neural network for transient signal processing
|
Perlovsky, Leonid I. |
|
1994 |
29-30 |
3 |
p. 565-572 8 p. |
artikel |
26 |
A model of smooth pursuit in primates based on learning the target dynamics
|
Shibata, Tomohiro |
|
2005 |
29-30 |
3 |
p. 213-224 12 p. |
artikel |
27 |
A model of the combination of optic flow and extraretinal eye movement signals in primate extrastriate visual cortex
|
Lappe, Markus |
|
1998 |
29-30 |
3 |
p. 397-414 18 p. |
artikel |
28 |
A more efficient global optimization algorithm based on Styblinski and Tang
|
Chin, Daniel C. |
|
1994 |
29-30 |
3 |
p. 573-574 2 p. |
artikel |
29 |
Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors
|
Kohler, Michael |
|
2011 |
29-30 |
3 |
p. 273-279 7 p. |
artikel |
30 |
An associative memory readout for ESNs with applications to dynamical pattern recognition
|
Ozturk, Mustafa C. |
|
2007 |
29-30 |
3 |
p. 377-390 14 p. |
artikel |
31 |
An asymptotic statistical analysis of support vector machines with soft margins
|
Ikeda, Kazushi |
|
2005 |
29-30 |
3 |
p. 251-259 9 p. |
artikel |
32 |
An Efficient Mapping of Fuzzy ART onto a Neural Architecture
|
Blume, Matthias |
|
1997 |
29-30 |
3 |
p. 409-411 3 p. |
artikel |
33 |
A network model for the optic flow computation of the MST neurons
|
Wang, Ruye |
|
1996 |
29-30 |
3 |
p. 411-426 16 p. |
artikel |
34 |
A Neural Algorithm for MAX-2SAT: Performance Analysis and Circuit Implementation
|
Alberti, Maria A. |
|
1997 |
29-30 |
3 |
p. 555-560 6 p. |
artikel |
35 |
A neural bridge from syntactic to statistical pattern recognition
|
Allen, Frank T. |
|
1999 |
29-30 |
3 |
p. 519-526 8 p. |
artikel |
36 |
A neural net for blind separation of nonstationary signals
|
Matsuoka, Kiyotoshi |
|
1995 |
29-30 |
3 |
p. 411-419 9 p. |
artikel |
37 |
A neural network adaptive filter for the removal of impulse noise in digital images
|
Kong, H. |
|
1996 |
29-30 |
3 |
p. 373-378 6 p. |
artikel |
38 |
A neural network controller for hydronic heating systems of solar buildings
|
Argiriou, Athanassios A. |
|
2004 |
29-30 |
3 |
p. 427-440 14 p. |
artikel |
39 |
A neural network for enhancing boundaries and surfaces in synthetic aperture radar images
|
Mingolla, Ennio |
|
1999 |
29-30 |
3 |
p. 499-511 13 p. |
artikel |
40 |
A neural network for pursuit tracking inspired by the fly visual system
|
Missler, James M. |
|
1995 |
29-30 |
3 |
p. 463-480 18 p. |
artikel |
41 |
A neural network-like critic for reinforcement learning
|
Yamakawa, Hiroshi |
|
1995 |
29-30 |
3 |
p. 363-373 11 p. |
artikel |
42 |
A neural system as a dynamical model for early vision
|
Bengtsson, Mats |
|
1993 |
29-30 |
3 |
p. 313-325 13 p. |
artikel |
43 |
A neuromorphic model of spatial lookahead planning
|
Ivey, Richard |
|
2011 |
29-30 |
3 |
p. 257-266 10 p. |
artikel |
44 |
An evaluation of Bayesian techniques for controlling model complexity and selecting inputs in a neural network for short-term load forecasting
|
Hippert, Henrique S. |
|
2010 |
29-30 |
3 |
p. 386-395 10 p. |
artikel |
45 |
An evaluation of standard retrieval algorithms and a binary neural approach
|
Hodge, Victoria J |
|
2001 |
29-30 |
3 |
p. 287-303 17 p. |
artikel |
46 |
A new environment for interactive neural network experiments
|
Korn, Granino A. |
|
1989 |
29-30 |
3 |
p. 229-237 9 p. |
artikel |
47 |
A new LMS-based algorithm for rapid adaptive classification in dynamic environments
|
Nguyen, Dziem D. |
|
1989 |
29-30 |
3 |
p. 215-228 14 p. |
artikel |
48 |
An experimental unification of reservoir computing methods
|
Verstraeten, D. |
|
2007 |
29-30 |
3 |
p. 391-403 13 p. |
artikel |
49 |
An Integrated Model for Activity-dependent Synaptic Modifications
|
Kitajima, Tatsuo |
|
1997 |
29-30 |
3 |
p. 413-421 9 p. |
artikel |
50 |
An introduction to neural and electronic networks
|
Marshall, Jonathan A. |
|
1992 |
29-30 |
3 |
p. 537-538 2 p. |
artikel |
51 |
An NN-based approach for tuning servocontrollers
|
Hemerly, Elder M. |
|
1999 |
29-30 |
3 |
p. 513-518 6 p. |
artikel |
52 |
A Numerical Implementation of Kolmogorov's Superpositions II
|
Sprecher, David A. |
|
1997 |
29-30 |
3 |
p. 447-457 11 p. |
artikel |
53 |
A physical system approach to recognition memory for spatially transformed faces
|
O'Toole, Alice J. |
|
1988 |
29-30 |
3 |
p. 179-199 21 p. |
artikel |
54 |
A probabilistic model of gaze imitation and shared attention
|
Hoffman, Matthew W. |
|
2006 |
29-30 |
3 |
p. 299-310 12 p. |
artikel |
55 |
A quantitative study of experimental evaluations of neural network learning algorithms: Current research practice
|
Prechelt, Lutz |
|
1996 |
29-30 |
3 |
p. 457-462 6 p. |
artikel |
56 |
Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem
|
Kreinovich, Vladik Ya. |
|
1991 |
29-30 |
3 |
p. 381-383 3 p. |
artikel |
57 |
A recurrent neural network for solving linear projection equations
|
Xia, Youshen |
|
2000 |
29-30 |
3 |
p. 337-350 14 p. |
artikel |
58 |
A robust method for distinguishing between learned and spurious attractors
|
Robins, Anthony V. |
|
2004 |
29-30 |
3 |
p. 313-326 14 p. |
artikel |
59 |
ART based adaptive pole placement for neurocontrollers
|
Kumar, Sanjay S. |
|
1991 |
29-30 |
3 |
p. 319-335 17 p. |
artikel |
60 |
Artificial intelligence and neural networks: Steps toward principled integration
|
Bapi, Raju S. |
|
1996 |
29-30 |
3 |
p. 545-548 4 p. |
artikel |
61 |
A simple linearization of the self-shrinking generator by means of cellular automata
|
Fúster-Sabater, Amparo |
|
2010 |
29-30 |
3 |
p. 461-464 4 p. |
artikel |
62 |
Associative memories with short-range, higher order couplings
|
Karlholm, Jörgen M. |
|
1993 |
29-30 |
3 |
p. 409-421 13 p. |
artikel |
63 |
Associative memory neural networks with concatenated vectors and nonzero diagonal terms
|
Marom, Emanuel |
|
1990 |
29-30 |
3 |
p. 311-318 8 p. |
artikel |
64 |
A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method
|
Luengo, Julián |
|
2010 |
29-30 |
3 |
p. 406-418 13 p. |
artikel |
65 |
Asymmetric Hopfield-type networks: Theory and applications
|
Xu, Zong-Ben |
|
1996 |
29-30 |
3 |
p. 483-501 19 p. |
artikel |
66 |
A unified algorithm for principal and minor components extraction
|
Chen, Tianping |
|
1998 |
29-30 |
3 |
p. 385-390 6 p. |
artikel |
67 |
Automatic Growing of a Hopfield Style Network During Training for Classification
|
Brouwer, R.K. |
|
1997 |
29-30 |
3 |
p. 529-537 9 p. |
artikel |
68 |
Automatic speech recognition using a predictive echo state network classifier
|
Skowronski, Mark D. |
|
2007 |
29-30 |
3 |
p. 414-423 10 p. |
artikel |
69 |
A via-point time optimization algorithm for complex sequential trajectory formation
|
Wada, Yasuhiro |
|
2004 |
29-30 |
3 |
p. 353-364 12 p. |
artikel |
70 |
A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters
|
Granger, Eric |
|
2001 |
29-30 |
3 |
p. 325-344 20 p. |
artikel |
71 |
Bayesian approach for neural networks—review and case studies
|
Lampinen, Jouko |
|
2001 |
29-30 |
3 |
p. 257-274 18 p. |
artikel |
72 |
Biased ART: A neural architecture that shifts attention toward previously disregarded features following an incorrect prediction
|
Carpenter, Gail A. |
|
2010 |
29-30 |
3 |
p. 435-451 17 p. |
artikel |
73 |
Bottom-up learning of explicit knowledge using a Bayesian algorithm and a new Hebbian learning rule
|
Hélie, Sébastien |
|
2011 |
29-30 |
3 |
p. 219-232 14 p. |
artikel |
74 |
Brain pathways for cognitive-emotional decision making in the human animal
|
Levine, Daniel S. |
|
2009 |
29-30 |
3 |
p. 286-293 8 p. |
artikel |
75 |
Call for Papers
|
|
|
2005 |
29-30 |
3 |
p. iv- 1 p. |
artikel |
76 |
CALL FOR PAPERS
|
|
|
2005 |
29-30 |
3 |
p. co4- 1 p. |
artikel |
77 |
Call for Papers: Neuroscience and Robotics
|
|
|
2006 |
29-30 |
3 |
p. CO3- 1 p. |
artikel |
78 |
Characterization of periodic attractors in neural ring networks
|
Pasemann, Frank |
|
1995 |
29-30 |
3 |
p. 421-429 9 p. |
artikel |
79 |
Classes of efficiently computable linear neural nets
|
Occhinegro, P. |
|
1990 |
29-30 |
3 |
p. 347-353 7 p. |
artikel |
80 |
Classification of patterns using a self-organizing neural network
|
Menon, Murali M. |
|
1988 |
29-30 |
3 |
p. 201-215 15 p. |
artikel |
81 |
Closed Loop Nonlinear Process Identification Using Internally Recurrent Nets
|
Cheng, Yi |
|
1997 |
29-30 |
3 |
p. 573-586 14 p. |
artikel |
82 |
Competitive learning algorithms for vector quantization
|
Ahalt, Stanley C. |
|
1990 |
29-30 |
3 |
p. 277-290 14 p. |
artikel |
83 |
Complex dynamics in winner-take-all neural nets with slow inhibition
|
Ermentrout, Bard |
|
1992 |
29-30 |
3 |
p. 415-431 17 p. |
artikel |
84 |
Computational aspects of Kolmogorov's superposition theorem
|
Katsuura, Hidefumi |
|
1994 |
29-30 |
3 |
p. 455-461 7 p. |
artikel |
85 |
Conferences on Neural Networks and Related Topics
|
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|
1991 |
29-30 |
3 |
p. 421-430 10 p. |
artikel |
86 |
Conferences on neural networks and related topics
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|
1992 |
29-30 |
3 |
p. 539-550 12 p. |
artikel |
87 |
Conferences on Neural Networks and Related Topics
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|
1990 |
29-30 |
3 |
p. 365-366 2 p. |
artikel |
88 |
Constructing associative memories using neural networks
|
Xu, X. |
|
1990 |
29-30 |
3 |
p. 301-309 9 p. |
artikel |
89 |
Continuous Boltzmann machine with rotor neurons
|
Parra, Lucas |
|
1995 |
29-30 |
3 |
p. 375-385 11 p. |
artikel |
90 |
Controlling chaotic convection using neural nets—theory and experiments
|
Yuen, Po Ki |
|
1998 |
29-30 |
3 |
p. 557-569 13 p. |
artikel |
91 |
Convergence of self-organizing neural algorithms
|
Yang, Hua |
|
1992 |
29-30 |
3 |
p. 485-493 9 p. |
artikel |
92 |
Convergence results in an associative memory model
|
Komlós, János |
|
1988 |
29-30 |
3 |
p. 239-250 12 p. |
artikel |
93 |
Cooperation and competition between lateral and medial perforant path synapses in the dentate gyrus
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Hayashi, Hatsuo |
|
2011 |
29-30 |
3 |
p. 233-246 14 p. |
artikel |
94 |
Coordinated machine learning and decision support for situation awareness
|
Brannon, N.G. |
|
2009 |
29-30 |
3 |
p. 316-325 10 p. |
artikel |
95 |
Correlations in high dimensional or asymmetric data sets: Hebbian neuronal processing
|
Softky, William R. |
|
1991 |
29-30 |
3 |
p. 337-347 11 p. |
artikel |
96 |
currentevents
|
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|
2002 |
29-30 |
3 |
p. 471-474 4 p. |
artikel |
97 |
Current Events
|
|
|
2010 |
29-30 |
3 |
p. I-III nvt p. |
artikel |
98 |
Current events
|
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|
1995 |
29-30 |
3 |
p. 495-501 7 p. |
artikel |
99 |
Current Events
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2001 |
29-30 |
3 |
p. 375-379 5 p. |
artikel |
100 |
Current events
|
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1996 |
29-30 |
3 |
p. 549-554 6 p. |
artikel |
101 |
Current Events
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2011 |
29-30 |
3 |
p. I-III nvt p. |
artikel |
102 |
Current Events
|
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2005 |
29-30 |
3 |
p. 309-311 3 p. |
artikel |
103 |
Current Events
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2004 |
29-30 |
3 |
p. 467-470 4 p. |
artikel |
104 |
Decoupled echo state networks with lateral inhibition
|
Xue, Yanbo |
|
2007 |
29-30 |
3 |
p. 365-376 12 p. |
artikel |
105 |
Delay-dependent stability analysis for continuous-time BAM neural networks with Markovian jumping parameters
|
Liu, Hongyang |
|
2010 |
29-30 |
3 |
p. 315-321 7 p. |
artikel |
106 |
“Derivation of the multilayer perceptron weight constraints for direct network interpretation and knowledge discovery” by M.L. Vaughn
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2000 |
29-30 |
3 |
p. 399- 1 p. |
artikel |
107 |
Designing a layered network for context sensitive pattern classification
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Thacker, Neil A. |
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1990 |
29-30 |
3 |
p. 291-299 9 p. |
artikel |
108 |
Determination of hopfield associative memory characteristics using a single parameter
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Wang, Jung-Hua |
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1990 |
29-30 |
3 |
p. 319-331 13 p. |
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109 |
Distributive properties of main overlap and noise terms in Autoassociative Memory Networks
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Fu, Alan M.N. |
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1995 |
29-30 |
3 |
p. 405-410 6 p. |
artikel |
110 |
Dual-orthogonal radial basis function networks for nonlinear time series prediction
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Billings, Steve A. |
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1998 |
29-30 |
3 |
p. 479-493 15 p. |
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111 |
Dynamical behaviors of Cohen–Grossberg neural networks with discontinuous activation functions
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Lu, Wenlian |
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2005 |
29-30 |
3 |
p. 231-242 12 p. |
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112 |
Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model
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Ito, Masato |
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2006 |
29-30 |
3 |
p. 323-337 15 p. |
artikel |
113 |
Dynamics of neural networks with a central element
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Kazanovich, Y.B. |
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1999 |
29-30 |
3 |
p. 441-454 14 p. |
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114 |
Edge-based binocular stereopsis algorithm—a matching mechanism with probabilistic feedback
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Hongo, Sadayuki |
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1996 |
29-30 |
3 |
p. 379-395 17 p. |
artikel |
115 |
Edge of chaos and prediction of computational performance for neural circuit models
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Legenstein, Robert |
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2007 |
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p. 323-334 12 p. |
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116 |
Editorial Board
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2011 |
29-30 |
3 |
p. IFC- 1 p. |
artikel |
117 |
Editorial Board
|
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2007 |
29-30 |
3 |
p. IFC- 1 p. |
artikel |
118 |
Editorial Board
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2009 |
29-30 |
3 |
p. IFC- 1 p. |
artikel |
119 |
Editorial Board
|
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2010 |
29-30 |
3 |
p. IFC- 1 p. |
artikel |
120 |
Editorial Board
|
|
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2004 |
29-30 |
3 |
p. IFC- 1 p. |
artikel |
121 |
Editorial Board/Publication Information
|
|
|
2006 |
29-30 |
3 |
p. CO2- 1 p. |
artikel |
122 |
Editorial board/Publication Information
|
|
|
2005 |
29-30 |
3 |
p. co2- 1 p. |
artikel |
123 |
Effective learning in recurrent max–min neural networks
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Teow, Loo-Nin |
|
1998 |
29-30 |
3 |
p. 535-547 13 p. |
artikel |
124 |
Effect of delay on the boundary of the basin of attraction in a system of two neurons
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Pakdaman, K. |
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1998 |
29-30 |
3 |
p. 509-519 11 p. |
artikel |
125 |
Efficient Backpropagation Learning Using Optimal Learning Rate and Momentum
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Yu, Xiao-Hu |
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1997 |
29-30 |
3 |
p. 517-527 11 p. |
artikel |
126 |
Efficient perceptron learning using constrained steepest descent
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Perantonis, S.J. |
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2000 |
29-30 |
3 |
p. 351-364 14 p. |
artikel |
127 |
Empirically derived model of the role of sleep in associative learning and recuperative processes
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Marczynski, Thaddeus J |
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1992 |
29-30 |
3 |
p. 371-402 32 p. |
artikel |
128 |
Emulating the dynamics for a class of laterally inhibited neural networks
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Lemmon, Michael |
|
1989 |
29-30 |
3 |
p. 193-214 22 p. |
artikel |
129 |
Erratum to: Bounds on the number of hidden neurons in three-layer binary neural networks [Neural Networks 16 (7) 995–1002]
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Zhang, Zhaozhi |
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2004 |
29-30 |
3 |
p. 465- 1 p. |
artikel |
130 |
European Conferences on Neural Networks and Related Topics
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1989 |
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131 |
European Conferences on Neural Networks and Related Topics
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Soft vector quantization and the EM algorithm 1 Acknowledgements: This work is supported by Tübitak Grant EEEAG-143 and Boğaziçi University Research Funds 95HA0108. Thanks to Mike Jordan and Zoubin Ghahramani for stimulating discussions on Gaussian mixtures and the EM algorithm. In particular, it was Mike Jordan who pointed out the advantage of coupled learning over the uncoupled version. Thanks also to the anonymous referees for constructive comments. 1
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