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| 用神经网络来实现基于范例的推理系统 | |
| 引用本文： | 倪志伟,蔡庆生,贾瑞玉. 用神经网络来实现基于范例的推理系统[J]. 计算机工程, 2002, 28(7): 12-14,94 |
| 作者姓名： | 倪志伟 蔡庆生 贾瑞玉 |
| 作者单位： | 1. 中国科学技术大学计算机系,合肥,230027;安徽大学计算智能与信号处理国家教育部重点实验室,合肥,230039 2. 中国科学技术大学计算机系,合肥,230027 3. 安徽大学计算智能与信号处理国家教育部重点实验室,合肥,230039 |
| 基金项目： | 国家自然科学基金资助项目()，60075015，省科技厅科研基金资助项目()00022007 |
| 摘 要： | 范例推理与神经网络有一种自然的联系，神经网络有许多优点，利用神经网络来实现范例推理可以取得非常好的效果。文章首先详细探讨了在范你推理中使用的神经网络模型与技术，并给出了其上的搜索与学习算法以及数据挖掘算法，旨在提高范例推理系统的鲁棒性和知识获取的自动化程度。 |
| 关 键 词： | 范例推理 神经网络 数据挖掘 范例检索算法 学习算法 人工智能 机器学习 |
| 文章编号： | 1000-3428(2002)07-0012-03 |
Building Case-based Reasoning System with Neural Networks |
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| NI Zhiwei,,CAI Qingsheng ,JJA Ruiyu. Building Case-based Reasoning System with Neural Networks[J]. Computer Engineering, 2002, 28(7): 12-14,94 | |
| Authors: | NI Zhiwei CAI Qingsheng JJA Ruiyu |
| Affiliation: | NI Zhiwei1,2,CAI Qingsheng 1,JJA Ruiyu2, |
| Abstract: | There is a natural relationship between case-based reasoning and neural network. This paper examines the possibility of using neural network as a method of building such case-based systems. Better results in CBR system could be achieved by using neural network. A simple efficient case-based system structure is constructed with neural network. Also, some algorithms are proposed and tested. The purpose of research is to heighten the robustness and automation of knowledge acquisition in case-based system. ;;;;; |
| Keywords: | Case-based reasoning(CBR)Neural networkIAC networkData miningRetrieval algorithmLearning algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |