Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/19749
Title: Analog circuits for VLSI neural networks
Authors: Lee, See Taur.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits
Issue Date: 1995
Abstract: Rapid advances in the semiconductor industry have provided the technologies for the implementation of millions of transistors on a single chip. Thus, state-of-the-art VLSI technology and future ULSI (Ultra Large Scale Integration) technologies are, and will be. a good implementation medium for artificial neural network circuits. The complexity of a single chip and the clock frequency of a system may not increase unchecked, therefore restricting the maximum performance of sequential computers. The artificial neural network is one of many approaches to enhance the computational capabilities in high-speed information processing.
URI: http://hdl.handle.net/10356/19749
Rights: NANYANG TECHNOLOGICAL UNIVERSITY
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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