nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Adaptive Resonance Theory Microchips: Circuit Design Techniques
|
Hubbard, A.E |
|
2000 |
29-30 |
4-5 |
p. 555-556 2 p. |
artikel |
2 |
Additive neural networks and periodic patterns
|
Gedeon, Tomás̆ |
|
1999 |
29-30 |
4-5 |
p. 617-626 10 p. |
artikel |
3 |
A generalized Hebbian rule for activity-dependent synaptic modifications
|
Kitajima, T. |
|
2000 |
29-30 |
4-5 |
p. 445-454 10 p. |
artikel |
4 |
A model with an intrinsic property of learning higher order correlations
|
Güler, Marifi |
|
2001 |
29-30 |
4-5 |
p. 495-504 10 p. |
artikel |
5 |
An efficient learning algorithm for improving generalization performance of radial basis function neural networks
|
Wang, Zheng-ou |
|
2000 |
29-30 |
4-5 |
p. 545-553 9 p. |
artikel |
6 |
An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers
|
Husmeier, D. |
|
1999 |
29-30 |
4-5 |
p. 677-705 29 p. |
artikel |
7 |
A new algorithm for learning in piecewise-linear neural networks
|
Gad, E.F. |
|
2000 |
29-30 |
4-5 |
p. 485-505 21 p. |
artikel |
8 |
A new perspective in learning pattern generation for teaching neural networks
|
Economou, G.-P.K. |
|
1999 |
29-30 |
4-5 |
p. 767-775 9 p. |
artikel |
9 |
Artificial neural networks as approximators of stochastic processes
|
Belli, M.R |
|
1999 |
29-30 |
4-5 |
p. 647-658 12 p. |
artikel |
10 |
A small-size neural network for computing with strange attractors
|
Klotz, A |
|
1999 |
29-30 |
4-5 |
p. 601-607 7 p. |
artikel |
11 |
Bias reduction in skewed binary classification with Bayesian neural networks
|
Lisboa, P.J.G |
|
2000 |
29-30 |
4-5 |
p. 407-410 4 p. |
artikel |
12 |
Comparing Bayesian neural network algorithms for classifying segmented outdoor images
|
Vivarelli, Francesco |
|
2001 |
29-30 |
4-5 |
p. 427-437 11 p. |
artikel |
13 |
Construction of confidence intervals for neural networks based on least squares estimation
|
Rivals, I. |
|
2000 |
29-30 |
4-5 |
p. 463-484 22 p. |
artikel |
14 |
Current Events
|
|
|
2001 |
29-30 |
4-5 |
p. 581-585 5 p. |
artikel |
15 |
Defining a neural network controller structure for a rubbertuator robot
|
Ozkan, M. |
|
2000 |
29-30 |
4-5 |
p. 533-544 12 p. |
artikel |
16 |
Determining the number of centroids for CMLP network
|
Lehtokangas, M |
|
2000 |
29-30 |
4-5 |
p. 525-531 7 p. |
artikel |
17 |
Dynamical features simulated by recurrent neural networks
|
Botelho, F. |
|
1999 |
29-30 |
4-5 |
p. 609-615 7 p. |
artikel |
18 |
Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions
|
Raudys, Š. |
|
2000 |
29-30 |
4-5 |
p. 507-523 17 p. |
artikel |
19 |
Evolutionary robots with on-line self-organization and behavioral fitness
|
Floreano, D |
|
2000 |
29-30 |
4-5 |
p. 431-443 13 p. |
artikel |
20 |
Independent component analysis: algorithms and applications
|
Hyvärinen, A. |
|
2000 |
29-30 |
4-5 |
p. 411-430 20 p. |
artikel |
21 |
INNS/ENNS/JNNS Membership Form
|
|
|
2001 |
29-30 |
4-5 |
p. I- 1 p. |
artikel |
22 |
Instructions to Authors
|
|
|
2001 |
29-30 |
4-5 |
p. III-IV nvt p. |
artikel |
23 |
Learning from noisy information in FasArt and FasBack neuro-fuzzy systems
|
Cano Izquierdo, José Manuel |
|
2001 |
29-30 |
4-5 |
p. 407-425 19 p. |
artikel |
24 |
Life-long learning Cell Structures—continuously learning without catastrophic interference
|
Hamker, Fred H |
|
2001 |
29-30 |
4-5 |
p. 551-573 23 p. |
artikel |
25 |
Modelling with constructive backpropagation
|
Lehtokangas, M |
|
1999 |
29-30 |
4-5 |
p. 707-716 10 p. |
artikel |
26 |
Multi-agent reinforcement learning: weighting and partitioning
|
Sun, R. |
|
1999 |
29-30 |
4-5 |
p. 727-753 27 p. |
artikel |
27 |
Mutual information of sparsely coded associative memory with self-control and ternary neurons
|
Bollé, D |
|
2000 |
29-30 |
4-5 |
p. 455-462 8 p. |
artikel |
28 |
Networks with trainable amplitude of activation functions
|
Trentin, Edmondo |
|
2001 |
29-30 |
4-5 |
p. 471-493 23 p. |
artikel |
29 |
Neural maps and topographic vector quantization
|
Bauer, H.-U. |
|
1999 |
29-30 |
4-5 |
p. 659-676 18 p. |
artikel |
30 |
Nine switch-affine neurons suffice for Turing universality
|
Siegelmann, H.T. |
|
1999 |
29-30 |
4-5 |
p. 593-600 8 p. |
artikel |
31 |
Noise suppression in training examples for improving generalization capability
|
Nakashima, Akiko |
|
2001 |
29-30 |
4-5 |
p. 459-469 11 p. |
artikel |
32 |
Object selection based on oscillatory correlation
|
Wang, D.L. |
|
1999 |
29-30 |
4-5 |
p. 579-592 14 p. |
artikel |
33 |
Pattern classification by a condensed neural network
|
Mitiche, A |
|
2001 |
29-30 |
4-5 |
p. 575-580 6 p. |
artikel |
34 |
Quantitative examinations for multi joint arm trajectory planning—using a robust calculation algorithm of the minimum commanded torque change trajectory
|
Wada, Yasuhiro |
|
2001 |
29-30 |
4-5 |
p. 381-393 13 p. |
artikel |
35 |
Rule-extraction by backpropagation of polyhedra
|
Maire, F. |
|
1999 |
29-30 |
4-5 |
p. 717-725 9 p. |
artikel |
36 |
Smaller nets may perform better: special transfer functions
|
Elsken, T. |
|
1999 |
29-30 |
4-5 |
p. 627-645 19 p. |
artikel |
37 |
Solving the binding problem of the brain with bi-directional functional connectivity
|
Watanabe, Masataka |
|
2001 |
29-30 |
4-5 |
p. 395-406 12 p. |
artikel |
38 |
Stereo algorithm that extracts a depth cue from interocularly unpaired points
|
Watanabe, O |
|
1999 |
29-30 |
4-5 |
p. 569-578 10 p. |
artikel |
39 |
S-TREE: self-organizing trees for data clustering and online vector quantization
|
Campos, Marcos M |
|
2001 |
29-30 |
4-5 |
p. 505-525 21 p. |
artikel |
40 |
Text compression via alphabet re-representation
|
Long, P.M. |
|
1999 |
29-30 |
4-5 |
p. 755-765 11 p. |
artikel |
41 |
The constraint based decomposition (CBD) training architecture
|
Drǎghici, Sorin |
|
2001 |
29-30 |
4-5 |
p. 527-550 24 p. |
artikel |
42 |
Three learning phases for radial-basis-function networks
|
Schwenker, Friedhelm |
|
2001 |
29-30 |
4-5 |
p. 439-458 20 p. |
artikel |