Open AccessCLASSIFICATION AND OPTOELECTRONICS IMPLEMENTA-TION OF MULTI-OBJECTS WITH ROTATION INVARIANCE BASED ON RBF FUNCTION
Author(s) -
Jing Shen,
Yue Liu,
Shengjiang Chang,
Jia Jia,
Wenwei Zhang,
Yanxin Zhang,
Guoguang Mu
Publication year - 1998
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.47.1968
Subject(s) - rotation (mathematics) , artificial neural network , computer science , function (biology) , plane (geometry) , artificial intelligence , pattern recognition (psychology) , mathematics , geometry , evolutionary biology , biology
A general discrimination function and a neural network model are constructed by using RBF function.This reveals the close relation between pattern recognition and neural network.Multi-objects classification with in-plane(2-D) and out-plane(3-D) rotation invariance is implemented by using this general discrimination function and neural network model.The computer simulation shows that it is an effective method for classifying multi-objects with rotation invariance.One of the opto-electronics recognition systems is presented to implement this function and model.