Pattern Recognition with Neural Networks in C++

Abhijit S. Pandya, Robert B. Macy

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Then MI(X,Y)=1 bit, MI(Y,Z) =1 bit, and MI(X,Z) =1 bit so both sides of the inequality are 1. Their ability to learn by example makes them very flexible and powerful. Recently, fuzzy tools and techniques have been applied in a specialized belief network, called a fuzzy Petri net, for handling both imprecision of data and uncertainty of knowledge by a unified approach. Army, Navy, and Air Force are pursuing Ai/ATR with sensor packages for their respective platforms to do the following: reconnaissance, intelligence, surveillance, target acquisition, fire control, wide-area search and track, countermine, and sensor fusion.

Pages: 432

Publisher: CRC Press; 1 edition (October 17, 1995)

ISBN: 0849394627

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