Monthly
288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

November 1995, Vol. 7, No. 6, Pages 1245-1264
(doi: 10.1162/neco.1995.7.6.1245)
© 1995 Massachusetts Institute of Technology
The Target Switch Algorithm: A Constructive Learning Procedure for Feed-Forward Neural Networks
Abstract

We propose an efficient procedure for constructing and training a feedforward neural network. The network can perform binary classification for binary or analogue input data. We show that the procedure can also be used to construct feedforward neural networks with binary-valued weights. Neural networks with binary-valued weights are potentially straightforward to implement using microelectronic or optical devices and they can also exhibit good generalization.