UC知道摘要在线翻译，不要软件翻译，急求！！
来源：百度知道 编辑：UC知道 时间：2024/06/21 03:53:02
摘 要：人类聊天的能力不是与生俱来的，而是通过后天的学习掌握的。学习能力正是人工神经网络的一个重要特征。自M-P模型提出以来人工神经网络技术取得了长足的发展，，由于神经网络具有大规模并行、分布式存储和处理、自组织、自适应、自学习等优越性能，所以神经网络无疑是人工智能研究一个重要工具。本文介绍一个hopfield网络在计算机对人类聊天模拟的简单应用，抛砖引玉，希望能给人工智商的研究上的带来一些启发。
关键词：：人工智能；Hopfield网络；聊天能力模拟
Human beings are not born with the ability to chat, but by learning to master the day after tomorrow. The learning ability of artificial neural network is an important feature. Since the MP model has been put forward artificial neural network technology has made the development, as the neural network has a large-scale parallel and distributed processing and storage, self-organizing, adaptive, self-learning, such as superior performance, it is artificial neural network research An important tool. This article describes a hopfield network computer simulation of human simple chat applications, to offer their valuable suggestions, give hope that the artificial intelligence research on some inspiration
Humans born ability to chat, but through the study of the master. Learning ability of artificial neural network is an important feature. Since M - P model of artificial neural network technique is put forward, and has achieved great development, because the neural network has massive