| 有限离散属性网络模型及分类搜索方法 |
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| 引用本文： | 宣士斌.有限离散属性网络模型及分类搜索方法[J].广西民族大学学报,2002,8(3):33-36. |
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| 作者姓名： | 宣士斌 |
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| 作者单位： | 宣士斌（广西民族学院,现代教育技术中心,广西,南宁,530006） |
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| 摘 要： | 记忆是思维的源头,如何高效组织与存储信息是机器智能活动的前提,利用神经网络的结构思想、数据库表的映射作用、属性论的事物表达思想构造的属性网络模型能有效组织与存储信息,从根本上解决存储容量和渐进学习问题,使分类搜索变得非常简单.
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| 关 键 词： | 属性网络 属性环 分类搜索 |
| 文章编号： | 1007-0311(2002)03-0033-04 |
| 修稿时间： | 2002年3月10日 |
A model of finite discrete attribute network and method of classification search |
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| XUAN Shi,bin.A model of finite discrete attribute network and method of classification search[J].Journal of Guangxi University For Nationalities(Natural Science Edition),2002,8(3):33-36. |
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| Authors: | XUAN Shi bin |
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| Abstract: | The memory is the headstream of thought,effective organization and storing information are precondition of machine intelligence action.Making use of structure thought of neural networks,mapping function of database table,thing expression thought of attribute theory, model of attribute network can effectively organize and store information.It solves radically memory capacity and gradual learning,and can predigest classification search. |
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| Keywords: | attribute network attribute loop classification search |
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