Accession Number : ADA265031


Title :   Piecewise Linear Neural Networks


Descriptive Note : Interim rept. 1991-1992


Corporate Author : NAVAL AIR WARFARE CENTER WEAPONS DIV CHINA LAKE CA


Personal Author(s) : Alltop, W O


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a265031.pdf


Report Date : Aug 1992


Pagination or Media Count : 24


Abstract : 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.


Descriptors :   *NEURAL NETS , *PATTERN RECOGNITION , *TARGET CLASSIFICATION , TRANSFER FUNCTIONS , LAYERS , WEIGHTING FUNCTIONS


Subject Categories : Cybernetics
      Target Direction, Range and Position Finding


Distribution Statement : APPROVED FOR PUBLIC RELEASE