摘要
神经网络计算机能模拟人脑的并行处理方式，具有惊人的自学习、思维、推理、判断和记忆的功能。该文主要阐述了人类对大脑的研究以及由此演发的人工神经网络的理论基础，并从目前实现神经网络的三种主要途径对神经网络计算机的实现做了分析与展望。
Neutral network computer can simulate human brains in parallel information processing manner, with functions of striking selflearning, thinking, reasoning, judging, and memorizing. This paper mainly describes the research to cerebrum and theoretical basis of artificial neural network from that, analysis and prospect for the implementation of artificial neural network from three main ways.
作者
李雪
马榕翊
刘浩
LI Xue, MA Rong-yi, LIU Hao （China University of Mining and Technology, Xuzhou 221116,China）
出处
《电脑知识与技术》
2009年第5期3527-3528,共2页
Computer Knowledge and Technology
关键词
神经
人工神经网络
计算机
神经网络计算机
硬件实现
Nerves
artificial neural network
computer
neutral network computer
hardware implementation
