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提出了广义模糊 CMAC( cerebellar model articulation 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 .
The neural network of generalized fuzzy CMAC is proposed and the sufficient conditions for its learning are derived.Finally, the learning convergence of generalized fuzzy CMAC in the sense of square error is proved.The research results are provided for the wide application of generalized fuzzy CMAC The foundation.