Effects of nonlinear synapses on the performance of multilayer neural networks

Authors:
G. Dündar;F-C. Hsu;K. Rose
Affiliations:
Electrical, Computer, and Systems Engineering Department, Center for Integrated Electronics and Electronics Manufacturing, Rensselaer Polytechnic Institute, Troy, NY 12180 USA;Electrical, Computer, and Systems Engineering Department, Center for Integrated Electronics and Electronics Manufacturing, Rensselaer Polytechnic Institute, Troy, NY 12180 USA;Electrical, Computer, and Systems Engineering Department, Center for Integrated Electronics and Electronics Manufacturing, Rensselaer Polytechnic Institute, Troy, NY 12180 USA
Venue:
Neural Computation
Year:
1996

Citing 3
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Abstract

The problems arising from the use of nonlinear multipliers in multilayer neural network synapse structures are discussed. The errors arising from the neglect of nonlinearities are shown and the effect of training in eliminating these errors is discussed. A method for predicting the final errors resulting from nonlinearities is described. Our approximate results are compared with the results from circuit simulations of an actual multiplier circuit.