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A GA-FNN Arithmetic and its Application in STR of Warships
Author(s): 
Pages: 71-73
Year: Issue:  8
Journal: Ordnance Industry Automation

Keyword:  GAFNNSTR;
Abstract: Aiming at shortages of normal Fuzzy Neural Network (FNN), design an arithmetic which confirms its network-value and system parameter by using Genetic algorithms (GA). The arithmetic first ascertains its encoding, then through functions like across, variation and defining fitness, the arithmetic is realized. Applied the arithmetic in warships' Sonar Target Recognition (STR), and the experiment result shows, after the optimized GA's search, the arithmetic has high efficiency and practicality significance than traditional training-means of FNN.
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