Enhancement of the weight cell utilization for CMAC neural networks: Architecture design and hardware implementation

Jar Shone Ker, Rong Chang Wen, Yau Hwang Kuo, Bin Da Liu

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

CMAC neural network model has the advantages of fast learning and insensitivity to the order of presentation of training data. However, it may suffer from a huge storage requirement for realizing the weight cell memory. In this paper, we propose a memory banking structure and a direct weight cell address mapping scheme, which can sharply reduce the required address space of weight cell memory. This mapping scheme also exhibits a fast computation speed in generating weight cell addresses. Besides, a pipelined architecture is developed to realize the CMAC chip. To efficiently manage design complexity and increase design productivity and maintainability, a high-level synthesis technique is adopted to perform the task of logic design of the CMAC chip.

原文English
主出版物標題Proceedings of the 4th International Conference on Microelectronics for Neural Networks and Fuzzy Systems, ICMNN 1994
發行者Institute of Electrical and Electronics Engineers Inc.
頁面244-251
頁數8
ISBN(電子)0818667109, 9780818667107
DOIs
出版狀態Published - 1994
事件4th International Conference on Microelectronics for Neural Networks and Fuzzy Systems, ICMNN 1994 - Turin, Italy
持續時間: 1994 9月 26 → …

出版系列

名字Proceedings of the 4th International Conference on Microelectronics for Neural Networks and Fuzzy Systems, ICMNN 1994

Conference

Conference4th International Conference on Microelectronics for Neural Networks and Fuzzy Systems, ICMNN 1994
國家/地區Italy
城市Turin
期間94-09-26 → …

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 硬體和架構
  • 電氣與電子工程
  • 電子、光磁材料

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