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Title: Implementation of neural networks as CMOS integrated circuits
Author: Smith, Anthony V. W.
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1988
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This thesis describes research into the VLSI implementation of neural networks. A novel approach is detailed, which uses streams of pulses to signal neural states and chopping clocks to perform multiplication on these streams of pulses. Practical results, using custom VLSI devices, are presented. A second approach uses reduced precision arithmetic as the basis of a digital neural simulator and shows how this arithmetic technique can be used to solve neural problems. Simulation results confirm the viability of this method.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available