摘要
本文设计了一种模糊CMAC(FLCMAC)控制器,这种控制器将传统的CMAC神经网络和模糊逻辑控制原理相结合, 同时具备了CMAC的快速学习能力和模糊逻辑的将专家经验融入系统利用模糊规则处理信息的优点,又克服了CMAC的精度 低和模糊逻辑的缺乏学习能力的缺点,将其应用于空调控制器的设计中,仿真结构验证了其有效性。
A fuzzy cerebellar model arithmetic controller (FLCMAC) neural networks control system architecture is proposed in this paper. The controller exploits a synergism between the original CMAC neural network and the theory of fuzzy logic controller. The FLCMAC is able to perform CMAC's high learning speed and the capability of conveniently incorporating expert knowledge into the system to process Information based on fuzzy inference rules. We evaluated the use of FLCMAC in the design of controller of air conditioner and simulating results show that it is effective.
出处
《制冷技术》
2004年第3期34-36,共3页
Chinese Journal of Refrigeration Technology
