Thesis-1994-Naylor.pdf (4.67 MB)
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Design and application of neurocomputers

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thesis
posted on 23.02.2018, 09:21 by David C.J. Naylor
This thesis aims to understand how to design high performance, flexible and cost effective neural computing systems and apply them to a variety of real-time applications. Systems of this type already exist for the support of a range of ANN models. However, many of these designs have concentrated on optimising the architecture of the neural processor and have generally neglected other important aspects. If these neural systems are to be of practical benefit to researchers and allow complex neural problems to be solved efficiently, all aspects of their design must be addressed. [Continues.]

Funding

Science and Engineering Research Council. British Telecom.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Publisher

© David Naylor

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 2.5 Generic (CC BY-NC-ND 2.5) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/2.5/

Publication date

1994

Notes

A doctoral thesis submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.

Language

en

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