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神经网络技术在信息检索中的应用

Neural network technology in the application of information retrieval

中文摘要英文摘要

21世纪随着网络信息技术的飞速发展,网络已成为人们日常工作和生活必不可少的信息来源渠道。为了方便人们在大量繁杂的网页中找寻自己需要的信息,检索工具发展的很快,但是由于网络信息的复杂性和网络检索技术的限制,普通检索工具也有着明显的不足。本文主要介绍了人工神经网络和时间联想存储器的相关概念,讨论了在信息检索中利用时间联想存储器网络模型进行信息检索的实现过程。同时详细描述了模型算法的算法,并进行了算法分析和总结了算法的优缺点。

With the 21st Century Network, the rapid development of information technology, the network has become essential to the daily work and life source of information channels. To facilitate the large number of people in the complex web of its own need to find information retrieval tool for development soon, but due to the complexity of the network information retrieval technology and network restrictions, the general search tools also have obvious deficiencies. This paper introduces the artificial neural network and time associative memory of related concepts, information retrieval discussed in the use of time associative memory network model for information retrieval process of the realization. At the same time a detailed description of the algorithm of the model algorithm, the algorithm and analysis and summary of the advantages and disadvantages of the algorithm.

白宁、张谢谊

电子技术应用

神经网络,联想存储,分布式,检索

Neural networksLenovo storageDistributedSearch

白宁,张谢谊.神经网络技术在信息检索中的应用[EB/OL].(2007-10-16)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200710-222.点此复制

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