| 基于自组织特征映射网络的综合评价模型 |
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| 引用本文： | 姚敏,刘虹.基于自组织特征映射网络的综合评价模型[J].湖南科技大学学报(自然科学版),2002,17(2):59-61. |
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| 作者姓名： | 姚敏 刘虹 |
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| 作者单位： | 1. 浙江大学,计算机系,浙江,杭州,310027
2. 合肥工业大学,机械与汽车工程学院,安徽,合肥,230009 |
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| 基金项目： | 国家自然科学基金资助项目 (编号 :79970 0 37) |
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| 摘 要： | 首先根据人脑思维的模糊性特点 ,以模糊集合论为基础 ,构造一种用于指导自组织特征映射网络学习过程的模糊熵准则 ,可以在较大范围内有效地解决自组织特征映射网络 (SOFM )的学习问题 .然后提出一种基于模糊自组织特征映射网络的综合评价模型 .该模型通过确定标准对象 ,数据的标准化处理 ,网络自适应学习和评价结果输出等环节 ,可以有效地解决一类综合评价问题 .最后通过一个实例进一步说明其灵活性与实用性 .参 6 .
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| 关 键 词： | 自组织特征映射网络 综合评价 模糊熵 |
| 文章编号： | 1000-9930(2002)02-0059-03 |
| 修稿时间： | 2001年6月11日 |
A kind of synthetic evaluation mode based on SOFM networks |
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| YAO Min ,LIU Hong.A kind of synthetic evaluation mode based on SOFM networks[J].Journal of Hunan University of Science & Technology(Natural Science Editon),2002,17(2):59-61. |
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| Authors: | YAO Min LIU Hong |
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| Institution: | YAO Min 1,LIU Hong 2 |
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| Abstract: | Self-organization feature mapping (SOFM) networks have strong ability for self-learning and self-adaptive. According to the fuzzy characteristics of human thought, this paper constructed a kind of fuzzy entropy criterion based on fuzzy set theory firstly, which may be used to guide the learning of self-organization feature mapping network so as to solve the learning problems of SOFM more effectively. Then presents a new kind of synthetic evaluation model based on fuzzy SOFM. The model may solve a kind of problems of synthetic evaluation by determining standard objects, processing data normally, network adaptive learning and evaluation result output. Finally, a practical example shows its flexibility and practicability further.6refs. |
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| Keywords: | self-organization feature mapping networks synthetic evaluation fuzzy entropy |
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