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提出了一种新的有效的转桨式水轮机协联方式———基于模糊ＣＭＡＣ（小脑模型关节控制器）神经网络的数字协联．该协联方式不需对输入进行分区，允许完全的连续信号输入，具有全协联空间的跟踪精度和工作稳定性
A new and effective impeller coupling method based on fuzzy CMAC (cerebellar model joint controller) neural network is proposed. The association method does not need to partition the input, allowing a complete continuous signal input, with the whole joint space tracking accuracy and work stability