摘要
人工神经网络(ANN)简称神经网络,属于模仿人类思考过程的一类普通的人工智能。人类大脑皮层包含的上亿个神经元互相连接构成了生物神经网络,而ANN就是通过电子电路或者计算机程序等有限的方法去模拟人脑的生物神经系统。它可以象人脑一样记忆和学习,通过对输入和输出样本数据的学习训练从而具备联想记忆能力,特别适于解决传统的数字计算机难以处理的模式识别问题。其输入、输出映射关系是神经计算的核心。
ANN is short for artificial neural networks. It belongs to the common artificial intelligence which imitates humans thought. Millions of human’s neuron connecting makes up the biology neural networks. While ANN uses the electronic circuit or computer program to imitate human’s biology neural system. It can memorize and learn like human by learning sample data of input & output to own associative memory ability especially in solving the problems that the traditional digital computer can’t do with. Its I/O mapping connection is the core of neural calculation.
出处
《陕西国防工业职业技术学院学报》
2009年第4期42-44,共3页
Journal of Shaanxi Institute of Technology
关键词
人工神经网络
时滞
系统模型
辨识
Artificial neural networks
Time delay
System model
Identification
