Microsoft Word - CONTENTS-DECEMBER06

نویسنده

  • W. S. Lim
چکیده

In this paper, the processing of sonar signals has been carried out using Minimal Resource Allocation Network (MRAN) and a Probabilistic Neural Network (PNN) in differentiation of commonly encountered features in indoor environments. The stability-plasticity behaviors of both networks have been investigated. The experimental result shows that MRAN possesses lower network complexity but experiences higher plasticity than PNN. An enhanced version called parallel MRAN (pMRAN) is proposed to solve this problem and is proven to be stable in prediction and also outperformed the original MRAN. Keywords—Ultrasonic sensing, target classification, minimal resource allocation network (MRAN), probabilistic neural network (PNN), stability-plasticity dilemma.

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تاریخ انتشار 2012