摘要
本文叙述了人工神经网络的基本概念、信息处理原理及主要特征。分析了Hopfield、误差反向传播等典型神经网络模型的互连结构、学习方法及特点。对该学科的发展及今后人工智能的研究策略也作了简要阐述。
In this paper, the basic concepts, fundamentals of information processing and characteristics of the artificial neural networks are introduced. The interconnecting architecture, learning rules, and features of the typical well-known neural models, such as Hopfield, and Error Back-Propagation models, are analysed. A brief description concerning the development of this field and the philosophy of the future artificial intelligence research is discussed too.
关键词
神经网络
人工智能
神经计算机
neural network, neurons, artificial intelligence, neurocomputer, parallel distribution processing
