O tomto dokumente ...
6.4 Organizácia záujemcov o NN na Slovensku
Neurónové siete Inžiniersky prístup (2. diel)

Obsah

Literatúra

1

Barto A.G.,Anandan P.: Pattern-recognizing stochastic learning automata, IEEE Transaction on Systems, Man and Cybernetics 15 (1985),360-375.

2

Carpenter G.A.,Grossberg A.: A Massively Parallel Architecture for Self-Organizing Neural Pattern Recognition Machine, Computer Vision, Graphics and Image Processing, 1987,vol.37, pp.54-115.

3

Funahashi K.: On the Aproximate Realization of Continuous Mapping by Neural Networks, neural Networks, Vol.2, pp. 183-192, 1989.

4

Halgamuge S.K. a kol. : Fast Perceptron Learning by Fuzzy Controlled Dynamic Adaptation of Network Parameters, in Fyzzy Systems in Computer Sciene, Editors R.Kruse at all, University of Amsterdam, 1994.

5

Haykin S.: Neural Network - A Comprehensive Foundation Macmillian Publishing, 1994.

6

Hertz J.,Krogh A.,Palmer R.: Introduction to the Theory of Neural Computation Addison Wesley publishing , 1991.

7

Jacobs R.A.:Increased rate of convergence through learning rate adaptation, Neural Networks 1, 1988, pp. 295-307.

8

Jacobs, R.A, Jordan, M.I.: Hierarchical mixtures of experts and the EM algorithm, Neural Computation 6, pp. 182-214, 1994.

9

Kohonen T.: Self-Organization and Associative Memory , Springer-Verlag Berlin, 1984.

10

Lippmann R.P.: Review of Neural Networks for Speech Recognition,Neural Computation , Volume 1-N1, 1989, pp. 1-38.

11

Lukasová A.,Šarmanová J.: Metody shlukové analýzy, SNTL, Praha, 1985.

12

Minai A.A. Williams R.J.: Backpropagation heuristics: A study of the extended delta-bar-delta algorith., International Joint Conference on NN, Vol 1, pp. 595-600, 1990 San Diego, CA - USA.

13

Novák V.: Fuzzy množiny a jejich aplikace, SNTL, Praha, 1990.

14

Pao Y.H.: Adaptive Pattern Recognition and Neural Network, Addison-Wesley, 1989.

15

Pearlmutter B.: Dynamic Recurrent Neural Networks , CMU-CS-90-196, 1990.

16

Pineda,F.J.: Recurent Backpropagation and Dynamical Approach to Adaptive Neural Computation, Neural Computation, N.2, 1989.

17

Rosenblatt F.: Principles of Neurodynamics Perceptron and the Theory of Brain Mechanism, Spartan Press, Washington, 1962.

18

Sincak, P. , Andras, D. , Reiss R.: Comparative Study of Fuzzy and Non-fuzzy Approach to Speeding-up Backpropagation Learning Procedure, Conference on Fuzzy Logic Budapest, 1996.

19

Sobajic, Pao Y.H.: Artificial Neural Net Based Security Assesment for Eletrical Power Systems, IEEE Transactions on Power Systems, 1989, Vol3.

20

Waterhouse, S.R., Robinson, A.J.: Classification using hierarchical mixtures of experts, IEEE Workshop on Neural Networks for Signal Processing IV, pp. 177-186, 1994.

21

Ghahramani, Z., Jordan, M.I.: Learning from incomplete data, Massachusetts Institute of Technology, 1994.

CIG Homepage(E-mail us!)