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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。
This paper describes the basic concepts of artificial neural network, the principle of information processing and the main features. The interconnection structure, learning methods and characteristics of typical neural network models such as Hopfield and error backpropagation are analyzed. The development of the discipline and the future research strategy of artificial intelligence are also briefly described.