Multilayer Piecewise Linear Networks.
Final rept. 1993-1994,
NAVAL AIR WARFARE CENTER WEAPONS DIV CHINA LAKE CA
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Feed-forward layered networks are the simplest neural computers. These networks provide fast compact devices for computing discriminant functions and other mappings applicable to pattern recognition problems. This report treats the problem of weight initializationassignment for feed-forward networks with piecewise linear neuron transfer function. Specific transformations are shown to be impossible with a single hidden layer. Techniques are presented for constructing such transformations with two hidden layers. Neural networks, Pattern recognition, Geometry
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