STUDY OF RECOGNITION T ECHNIQUE OF RADAR TARGET'S O NE-DIMENSIONAL I MAGES B ASED ON RADIAL BASIS FUNCTION N ETWORK*
作者： Bao Zheng , Huang Deshuang
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摘要: This paper studies the problem applying Radial Basis Function Network(RBFN) which is trained by Recursive Least Square Algorithm(RLSA) to recognition of one di- mensional images radar targets. The equivalence between RBFN and estimate Parzen window probabilistic density proved. It pointed out that I/O functions in hidden units can be generalized general kernel function or poten- tial function, too. discusses effects shape parameter c~ forgotten factor ,~ RLSA on results three kinds such as Gaussian, triangle, double-exponential, at same time, also relationship A training time RBFN.
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