| 摘要: |
| 基于J.F.Baldwin等人提出的mass-assignment理论，提出了新的基于mass-assignment的模糊CMAC神经网络,接着研究了其学习规则.理论研究结果揭示出，此新模糊CMAC是一个全局逼近器，并且具有学习收敛性.故此新模糊CMAC有非常重要的应用潜力. |
| 关键词: 模糊CMAC 学习规则 mass-assignment理论 学习收敛性 |
| DOI： |
| 分类号: |
| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.69843002 (国家自然科学基金) |
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| New Mass-Assignment-Based Fuzzy CMAC and I ts Learning Convergence |
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WANG Shi tong,J.F. Baldwin,T.P. Martin
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| Abstract: |
| In this paper, based on the mass assignment theory proposed by J.F. Baldwin et al. , the new mass assignment based fuzzy CMAC is presented. Accordingly, its learning rules are also investigated. The theoretical research results reveal that this new mass assignment based fuzzy CMAC is a universal approximator, and has its learning convergence. Therefore, this new fuzzy CMAC has very important potentials of applications. |
| Key words: fuzzy CMAC learning rule mass assignment theory learning convergence |
