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Application of BP Neural Network in the Digital Recognition System

机译:BP神经网络在数字识别系统中的应用

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the purpose of digital identification technology based on artificial neural networks is to achieve efficient character recognition through the simulation of human brain function and structure. This paper uses BP neural network to design three classifiers which separately extract the input vector with different characteristics,proposes a weighted integration multi-classifier method based on the analysis of common used integrated multi-classifiers,and uses the method to integrate the designed three classifiers to design a weight-based integrated multi-classifier handwritten digital identification system.
机译:基于人工神经网络的数字识别技术的目的是通过模拟人脑的功能和结构来实现高效的字符识别。本文利用BP神经网络设计了三个分类器,分别提取具有不同特征的输入向量,在分析常用的集成多分类器的基础上提出了加权积分多分类器的方法,并利用该方法对设计的三个分类器进行了集成。设计基于权重的集成多分类器手写数字识别系统。

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