Evaluation of constructive neural networks with cascaded architectures

Author:

Lahnajärvi Jani J.T.,Lehtokangas Mikko I.,Saarinen Jukka P.P.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference51 articles.

1. Neural Computing: An Introduction;Beale,1990

2. C.M. Bishop, Regularization and complexity control in feed-forward networks, Technical Report: NCRG/95/022, Neural Computing Research Group, Department of Computer Science and Applied Mathematics, Aston University, Birmingham, UK, 1995.

3. T.L. Burrows, M. Niranjan, The Use of Feed-Forward and Recurrent Neural Networks for System Identification, Technical Report CUED/F-INFENG/TR158, Cambridge University Engineering Department, Cambridge, England, December 1993.

4. Neural Networks for Optimization and Signal Processing;Cichocki,1993

5. G. Cybenko, Approximation by Superpositions of a Sigmoidal Function, Mathmatics of Control, Signals and Systems, Vol. 2, 1989, pp. 303–314.

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