Multilayer perceptrons for classification and regression

Neurocomputing - Tập 2 Số 5-6 - Trang 183-197 - 1991
Fionn Murtagh1
1Space Telescope - European Coordinating Facility, European Southern Observatory, Karl-Schwarzschild-Str. 2, D-8046 Garching, Germany

Tóm tắt

Từ khóa


Tài liệu tham khảo

Barnard, 1989, A comparison between criterion functions for linear classifiers, with an application to neural nets, IEEE Trans. Systems Man Cybernet., 19, 1030, 10.1109/21.44018

Barnard, 1989, A neural net training program based on conjugate-gradient optimization

Casasent, 1990, Adaptive-clustering optical neural net, Appl. Optics, 29, 2603, 10.1364/AO.29.002603

Chester, 1990, Why two hidden layers are better than one, 265

Duda, 1973

Fahlman, 1988, Faster-learning variations on back-propagation: an empirical study

Fahlman, 1990, The cascade-correlation learning architecture

Fisher, 1936, The use of multiple measurements in taxonomic problems, Ann. Eugenics, 7, 179, 10.1111/j.1469-1809.1936.tb02137.x

Funahashi, 1989, On the approximate realization of continuous mappings by neural networks, Neural Networks, 2, 183, 10.1016/0893-6080(89)90003-8

Gallant, 1990, Perceptron-based learning algorithms, IEEE Trans. Neural Networks, 1, 179, 10.1109/72.80230

Gallinari, 1988, Multilayer perceptrons and data analysis, 391

Girosi, 1989, Representation properties of networks: Kolmogorov's theorem is irrelevant, Neural Computation, 1, 465, 10.1162/neco.1989.1.4.465

Gish, 1989, Comparing a connectionist trainable classifier with classical statistical decision analysis methods

Gorman, 1988, Analysis of hidden units in a layered network trained to classify sonar targets, Neural Networks, 1, 75, 10.1016/0893-6080(88)90023-8

Hand, 1981

Huang, 1987, Comparisons between neural net and conventional classifers, 485

Hecht-Nielsen, 1987, Kolmogorov's mapping neural network existence theorem, III, 11

Hornik, 1989, Multilayer feedforward networks are universal approximators, Neural Networks, 2, 359, 10.1016/0893-6080(89)90020-8

Johansson, 1990

Lapedes, 1988, How neural networks work, Los Alamos National Laboratory report LA-UR-88-418

Lapedes, 1987

Lippmann, 1987, An introduction to computing with neural nets, IEEE Acoust. Speech Signal Process. Mag., 4

Pao, 1989

Press, 1988

Priestley, 1988

Shadmehr, 1990, A comparison of neural network based estimator and two statistical estimators in a sparse and noisy data environment, 289

Smyth, 1990, Initial results on fault diagnosis of DSN antenna control assemblies using pattern recognition techniques

Tong, 1990

Webb, 1988, A theorem connecting adaptive feed-forward layered networks and nonlinear discriminant analysis, Royal Signals and Radar Establishment Memorandum 4209, 26

A.S. Weigend, B.A. Huberman and D.E. Rumelhart, Predicting the future: A connectionist approach, Stanford PDP Research Group technical report Stanford-PDP-90-01. Internat. J. Neural Syst., in press.