Fuzzy Neural Network Approach for Estimating The K-distribution Parameters

This paper provides a novel approach based on neuro-fuzzy inference system for the estimation problem of the K-distributed parameters. The proposed method is based on a network implementation with real weights and the genetic algorithm (GA) tool is applied for an off-line training of the fuzzy-neura...

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Bibliographische Detailangaben

Hauptverfasser:	Mezache, A., Soltani, F.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Clutter Fuzzy control Fuzzy neural networks Genetic algorithms K-distribution Maximum likelihood estimation Message-oriented middleware Parameter estimation Shape shape parameter Signal processing Statistics
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