本論文提出一高斯小波類神經網路(Gaussian wavelet neural networks)，其可以比傳統類神經網路擁有更佳之學習效果，並利用此優點開發了一距穩定邊界之智慧型控制系統，最後經由模擬結果成功地驗證所開發控制系統之效能。 Since the wavelet neural network (WNN) uses wavelet function, its learning capability is superior to the conventional neural network. Based on WNN online approximation ability, this paper proposes an adaptive tracking control system, which is composed of
