Piecewise Linear Neural Networks
Interim rept. 1991-1992
NAVAL AIR WARFARE CENTER WEAPONS DIV CHINA LAKE CA
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Modern weapons systems often require pattern recognition devices and algorithms. The three-layer neural network--consisting of input layer, hidden layer, and output layer--has great potential as a pattern classifier. Determining the size of the hidden layer and computing the weights are two of the primary design as a function of the input and output dimensions and of the number of pattern prototypes. The neurons are assumed to have piecewise linear transfer functions.
- Target Direction, Range and Position Finding