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DOI:
Journal of Software:1995.6(10):623-628

一个自生成的神经树网络模式分类器
李吉桂,林国扶,李冠英
(华南师范大学计算机科学系,广州,510631)
A SELF-GROWING NEURAL TREE NETWORK PATTERN CLASSIFIER
Li Jigui,Lin Guofu,Li Guanying
()
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Received:May 27, 1994    Revised:December 29, 1994
> 中文摘要: 本文研究一种神经树网络(NTN,NeuralTreeNetwork)模型,提出一种能自动生成其体系结构的有监督的竞争学习算法,指出该模型能解决复杂的多类模式分类问题.模拟数字例子——手写体数码识别的结果也表明该分类器是有效的.
Abstract:This paper is about a neural tree network(NTN)model.A supervised competitive learning algorithm is presented to grow this architecture,which can effectly solve the complex multicategory classification.A simulation result also presented on handwrited numberic recognition shows effectiveness of this classifier.
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李吉桂,林国扶,李冠英.一个自生成的神经树网络模式分类器.软件学报,1995,6(10):623-628

Li Jigui,Lin Guofu,Li Guanying.A SELF-GROWING NEURAL TREE NETWORK PATTERN CLASSIFIER.Journal of Software,1995,6(10):623-628