摘要
提出了一个识别手写字符的综合网络集成模型 ,该模型由 2个B 小波神经网络分类器和一个Morlet 小波神经网络分类器构成。
A meta-synthetic network approach for conbination of multiple classifier is proposed aimed at solving the problems of character recognition. It composes of two B-Wavelet neural network classifiers and a Morlet-B-Wavelet neural network classifier.It is shown that the method is effective used in handwritten capital English character recongnizing.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2001年第3期114-116,共3页
Journal of Chongqing University
