Search

Start Over Subject ultrasonic sensing

1. Sequential learning neural network for sonar target differentiation

Creator:
Lim, Way-Soong, Rao, M. V. C., and Loo, Chu-Kiong
Format:
bez média and svazek
Type:
model:article and TEXT
Subject:
ultrasonic sensing, target classification, minimal resource allocation network (MRAN), probabilistic neural network (PNN), and stability-plasticity dilemma
Language:
English
Description:
In this paper, processing of sonar signals has been carried out using the Minimal Resource Allocation Network (MRAN) and the Probabilistic Neural Network (PNN) in differentiating of commonly encountered features in indoor environments. The stability-plasticity behavior of both networks has been investigated. The experimental result shows that the MRAN possesses lower network complexity but experiences higher plasticity in comparison with PNN. The study also shows that the MRAN performance is superior in terms of on-line learning to PNN.
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public