摘要
人工神经网络是对生物神经系统的模拟,它的信息处理功能与网络单元的特性密切相关。神经元的研究方兴未 艾,神经元的效率问题有待提升。通过研究神经元学习算法,提高神经元的学习效率,并且提出一种新的神经元模型。
Artificial neural networks simulate the function of biotic neural nets. The quality of artificial neural cell is very important to the whole network. Nowadays, the study of artificial neuron is booming its the promotion of the efficiency has become more and more necessary. The efficiency of artificial neuron is promoted and a new model of artificial is created by studying the learning algorithm.
出处
《计算机工程与设计》
CSCD
北大核心
2005年第1期165-167,共3页
Computer Engineering and Design
关键词
人工神经网络
神经元
学习算法
泛函分析
artificial neural network
artificial neuron
learning algorithm
