| 摘要: |
| 提出了广义模糊CMAC(cerebellar model articu lation controller)神经网络，并导出了其学习的充分条件.最后，证明了广义模糊CMAC在 平方误差意义下的学习收敛性.研究结果为广义模糊CMAC的广泛应用提供了基础. |
| 关键词: CMAC(cerebellar model articulation controller) 学习 收敛 模糊泛集合 学习规则 |
| DOI： |
| 分类号: |
| 基金项目:Project is supported by the British Royal Society. |
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| Theoretical Results on Learning Convergence of Generali zed Fuzzy CMAC |
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WANG Shi-tong,Baldwin,J.F.,,Martin, T.P.
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| Abstract: |
| In this paper, a generalize d fuzzy CMAC (cerebellar model articulation controller) is presented, the suffici ent condition of the learning of the generalized fuzzy CMAC is derived, and fina lly the learning convergence of the generalized fuzzy CMAC to the least square error is proved. The results provide a mathematical foundation for the generaliz ed fuzzy CMAC's wide applications. |
| Key words: CMAC (cerebellar model articul ation controller) learning convergence fuzzy set learning rule |
