The Effects of Optical Thresholding in Backpropagation Neural Networks
| Type of publication: | Conference paper |
| Citation: | Moerland-95.1 |
| Booktitle: | Proceedings of the International Conference on Artificial Neural Networks (ICANN'95 and NeuroNimes'95) |
| Volume: | 2 |
| Year: | 1995 |
| Publisher: | EC2 & Cie |
| Location: | Paris, France |
| Organization: | ENNS |
| Address: | Paris La Défense, France |
| ISBN: | 2-910085-19-8 |
| Abstract: | Sigmoid-like activation functions implemented in analog hardware differ in various ways from the standard sigmoidal function as they are asymmetric, truncated, and have a non-standard gain. It is demonstrated how one can adapt the backpropagation learning rule to compensate for these non-standard sigmoids as available in hardware. This method is applied to multilayer neural networks with all-optical forward propagation and liquid crystal light valves (LCLV) as optical thresholding devices. In this paper the results of software simulations of a backpropagation neural network with five different LCLV activation functions are presented and it is shown that the adapted learning rule performs well with these LCLV curves |
| Userfields: | dates={October 9--13, 1995}, language={English}, ipdmembership={neuron learning}, |
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| Added by: | [UNK] |
| Total mark: | 0 |
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