| 基于反复加深的模糊启发式搜索算法及其学习性质研究 |
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| 引用本文： | 王士同.基于反复加深的模糊启发式搜索算法及其学习性质研究[J].电子学报,1995,23(12):103-105,88. |
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| 作者姓名： | 王士同 |
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| 作者单位： | 华东船舶工业学院计算机系 |
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| 摘 要： | 本文基于反复加深和动态修改启发式估价函数这一机制。提出了模糊启发式搜索算法ＦＩＤＡ和Ｉｍｐｒｏｖｅｄ－ＦＩＤＡ。针对模糊启发式估价函数通常难以设计这一问题，提出了可用于模糊启发式估价函数学习的学习算法ＬＦＩＤＡ。
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| 关 键 词： | 人工智能 启发式搜索 算法 学习 |
Iterative-Deepening Fuzzy Heuristic Search Algorithms and Their Learning Investigation |
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| Wang Shitong.Iterative-Deepening Fuzzy Heuristic Search Algorithms and Their Learning Investigation[J].Acta Electronica Sinica,1995,23(12):103-105,88. |
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| Authors: | Wang Shitong |
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| Abstract: | Based on iterative-deepening and modifying heuristic evaluation function dynamically,fuzzy heuristic search algorithms FIDA and Improved-FIDA are presented. The learning algorithm LFIDA is also presented to overcome the difficulty to design fuzzy heuristic evaluation function h (n) |
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| Keywords: | Artificial intelligence heuristic search algorithm learning |
| 本文献已被 CNKI 维普 等数据库收录！ |
