Incorporation of the first derivative of the objective function into the linear training of a radial basis function neural network for approximation via strict interpolation

Dissertation

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Justin Steven Calder Prentice

DPhil, University of Johannesburg

23/07/2014

Handle:

https://hdl.handle.net/10210/11569

Abstract

Interpolation

Approximation theory

Numerical integration

Algorithms

Neural networks (Computer science)

D.Phil. (Applied mathematics) Please refer to full text to view abstract

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Title: Incorporation of the first derivative of the objective function into the linear training of a radial basis function neural network for approximation via strict interpolation
Creators - without role: Justin Steven Calder Prentice
Awarding Institution: University of Johannesburg; DPhil
Theses and Dissertations: DPhil, University of Johannesburg
Identifiers: 9913487107691
Copyright: University of Johannesburg
Academic Unit: University of Johannesburg; Department of Applied Mathematics
Resource Type: Dissertation