Two fuzzy neural network control systems are designed : fuzzy neural network self - learning control system and fuzzy neural cell complex control system 分別設計了模糊神經網絡自學習控制和模糊單神經元復合控制系統,并進行了計算機仿真。
In the neural networks control , the structure and the working principle of the cerebella model articulation controller ( cmac ) are discussed firstly , and then based on the mutual supplements and the similarities between fcmac and fuzzy logic , fuzzified cerebella model articulation controller ( fcmac ) is proposed . the learning control system based fcmac are introduced in detail . through the example of fcmac used in the swinging up a pendulum control , the excellent control effects are demonstrated 在神經網絡控制方面,本文主要研究了小腦模型關節控制器( cmac ) ,并進而根據cmac與模糊邏輯的互補性與相似性,提出了模糊小腦神經網絡控制器( fcamc ) ,詳細討論了fcmac的學習控制系統與fcmac的自學習機理,通過fcamc對倒單擺控制的具體例子表明, fcmac控制具有優良的控制效果和強的魯棒性。