This guide introduces the basics of neural networks and is intended to prepare the reader to search, read, use, and understand the literature. A brief history is followed by a section devoted to keywords, phrases, and definitions. The basic building blocks with illustrations are included. A matrix of major neural-network paradigms with intended use and suggested applications is presented. Recommended readings and software programs with problem types are suggested. The potentials and limitations of neural networks are highlighted.<>
Beginner's guide to neural networks
IEEE Aerospace and Electronic Systems Magazine ; 4 , 9 ; 44-49
1989-09-01
378276 byte
Article (Journal)
Electronic Resource
English
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