Design of a neuro-fuzzy chip using adaptive multimode approaches for an intelligent car-backing system

Shao Hua Lee, Jeen-Shing Wang

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

This paper pres1ents a new approach to design an adaptive multimode neuro fuzzy chip (AMNFC) with on-chip learning and highly-efficient resource utilization capabilities for a car-backing system. The design process is performed by a high-level datapath synthesis that is based on an optimal scheduling and a resource allocation algorithm. A novel data flow graph (DFG) scheduling algorithm suitable for parallel structure computation has been developed for designing a neuro-fuzzy chip. The proposed algorithm fulfills two major objectives. First, it simultaneously optimizes both the schedule and allocation of functional units, registers, and multiplexers with respect to a minimal cost of the hardware resources and the total time of execution. Second, it implements an adaptive multimode neural-fuzzy system with reconfiguration capability. Computer simulations and experimental results have successfully validated the effectiveness of the proposed design approach for a car-backing system.

原文English
主出版物標題2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
頁面3799-3804
頁數6
DOIs
出版狀態Published - 2004 十二月 1
事件2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Netherlands
持續時間: 2004 十月 102004 十月 13

出版系列

名字Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
4
ISSN(列印)1062-922X

Other

Other2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
國家/地區Netherlands
城市The Hague
期間04-10-1004-10-13

All Science Journal Classification (ASJC) codes

  • 工程 (全部)

指紋

深入研究「Design of a neuro-fuzzy chip using adaptive multimode approaches for an intelligent car-backing system」主題。共同形成了獨特的指紋。

引用此