查詢結果分析
來源資料
相關文獻
- The Artificial Intelligence Based Cruising Warning System
- 反傳遞模糊類神經網路於流量推估之應用
- 人工智慧在軍事上之應用
- 電腦圍棋形勢判斷系統之研製
- 遺傳演算法在發展股市投資專家知識規則之研究
- 依範例學習模式應用於水文資料延伸之研究
- 超矩形學習模式應用於高性能混凝土強度估計之研究
- 數位科技世紀觀--結合印刷出版數位流程與人工智慧科技
- Fuzzy Neural Network Model-Following Controller for Ultrasonic Motor Servo Drives
- 冷軋排程系統一物件導向觀念在知識庫系統之應用
頁籤選單縮合
題 名 | The Artificial Intelligence Based Cruising Warning System |
---|---|
作 者 | 呂百川; | 書刊名 | 聯合學報 |
卷 期 | 15 1997.11[民86.11] |
頁 次 | 頁289-313 |
分類號 | 312.2 |
關鍵詞 | 人工智慧; 模糊類神經網路; FNN techniques; Car-following indicator; Individual-oriented machines; Headways; Neural networks; |
語 文 | 英文(English) |
英文摘要 | This paper proposes a fuzzy neural network (FNN) based approach to construct an individual-oriented car-following system. The feature of this system is firstly to incorporate a personal risk-taking factor in addition to other mechanical factors as the input parameters. Through the learning capability of artificial network, the complex membership functions between the input factors and the output (i.e. the appropriate car-following headway) can be efficiently established, and then the fuzzy logic rules can be properly constructed. The performance of the FNN system is finally assessed against the field data. The results are inspiring that the system is proven capable of providing highly accurate predictions of the required car-following headways from person to person at various speeds. The success of this study provides some clues of utilizing FNN techniques in exploring some individual-oriented machines. |
本系統中英文摘要資訊取自各篇刊載內容。