摘要
本文首先引入了感知神经元,建立了一种应用于模式识别的三层神经网络模型.对于任一组二元标准模式(二元图象或特征值序集),我们根据给定模式及要求设计神经网络,使之对输入模式进行识别.这种神经网络结构明确,易于实现,其实施有助于提高模式识别系统的执行速度与识别能力.
in this paper,after the perceptive n.uron is introduced,a model or three-layer neural network for pattern recognition is presented'The model is able to memorize any group of standard binary patterns and to recognize the pattern in its absorted range.The neural network model will enable pattern reecognltion system to achieve a high implementation speed and great recognition capability'
出处
《汕头大学学报(自然科学版)》
1994年第1期14-19,共6页
Journal of Shantou University:Natural Science Edition
关键词
神经元
神经网络
模式识别
neuron
neural network
pattern recognition