<title>Multicolor neural network using cascaded color LCTVs</title>

Abstract

One of the important aspects of a neural network is the exploration of the spatial content of the object under observation in this connection. We shall present a color optical neural network using inexpensive package-size liquid crystal televisions (LCTVs). By introducing a color encoding technique in conjunction with a conventional white light source, a multicolor neural net is synthesized. We have shown that by exploiting the spectral component of the LCTVs storage capacity of the neural net can be improved. Simulations as well as experimental results obtained from the proposed LCTV color neural net are provided, in which the effects due to noise and due to color crosstalk are addressed.