基于bp的模拟神经- lsi学习系统

Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257) Pub Date : 2001-08-14 DOI:10.1109/MWSCAS.2001.986286

Y. Todo, T. Takasaki, M. Yoshida, T. Yoneyama, H. Asai

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引用次数: 0

摘要

本文介绍了模拟神经大规模集成电路的制作和利用神经大规模集成电路输出进行学习的学习系统。首先介绍了多层神经网络的设计与制作。其次，描述了利用Labview构建学习系统的过程，并对系统性能进行了估计。最后，我们证明了该系统可以消除模拟电路的波动，具有实用性和实用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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BP-based learning system with analog neuro-LSI

This paper describes the fabrication of analog neuro-LSI and a learning system with the neuro-LSI, which uses the output of neuro-LSI for learning. First, the design and fabrication of the multi-layer neural network are shown. Next, the construction of learning system with Labview is described and the system performance is estimated. Finally, we show that this system can cancel the fluctuation of analog LSIs and is useful and practical.

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Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257)

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