基于径向基函数的多目标旋转不变分类及其光电实现

CLASSIFICATION AND OPTOELECTRONICS IMPLEMENTA TION OF MULTI OBJECTS WITH ROTATION INVARIANCE BASED ON RBF FUNCTION 

提出利用径向基函数构造广义判别函数及神经网络模型，显示了模式识别与神经网络之间的密切联系．利用此函数和模型实现了多目标的面内（二维旋转）、面外（三维空间旋转）旋转不变识别，计算机模拟表明，对于旋转不变识别这是一个很有效的方法．一个光电混合系统被提出实现此旋转不变识别方法．

Abstract ? 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.  PACC: 4200; 4230[HT〗 Project supported by the Higher Education Bureau and the Foundation for 21 Century Youth of Tianjin,China.[ST〗[WT〗[HJ〗[LM〗