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Title: FPGA-based reconfigurable architecture for neural network
Authors: Sim, Ui Tek.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2001
Abstract: The objectives are to investigate the use of FPGA-based reconfigurable architecture to implement artificial neural networks; to propose implementation methodologies for designing neural networks’ training algorithm on FPGA devices and to describe the design and implementation of a prototype neural computing system based on FPGA devices.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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