適應模糊系統之發展軟體系統製作

Abstract

本論文探討適應模糊系統架構與研製軟體發展系統，內容重點可分為系統 理論與軟體開發兩大部分。在系統理論部分，為了實現適應性於模糊系統 中，我們將模糊系統中的邏輯法則予以參數化，並利用參數學習方法設計 模糊系統。在軟體開發部分，重點在於軟體設計概念以及工作模式和流程 的介紹，並完整地說明了適應模糊系統如何被架構於發展軟體之上。本文 所設計之軟體提供了不同於傳統模糊系統之簡單操作程序，使得使用者無 需精心地設計與調整控制規則與隸屬函數，利用適應學習概念的引入，為 模糊系統發展軟體之製作提供了不同的方法。 The design and implementation of an adaptive fuzzy system development system have been investigated in this thesis. The emphasis of the present exercise is on the adaptation of fuzzy systems and implementation of a developing system. In order to incorporate adaptation into fuzzy systems, a refined mathematical model for fuzzy systems is developed in such a way that the fuzzy logical rules in the systems are parameterized. With the simplified model formulation, fuzzy systems can be trained by gradient-based learning methods. To facilitate the software development, the basic concepts and operating modes are described in details. A novel design environment is proposed, which results in a very simple synthesis procedure and speeds up the system development.