Computational Technology Resources - CCP

Paper V.1

Parallel Training of Neural Networks for Finite Element Mesh Generation

A.I. Khan, B.H.V. Topping and A. Bahreininejad

Heriot-Watt University, Edinburgh, Scotland

doi:10.4203/ccp.16.5.1

A.I. Khan, B.H.V. Topping, A. Bahreininejad, "Parallel Training of Neural Networks for Finite Element Mesh Generation", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 81-94, 1993. doi:10.4203/ccp.16.5.1

Abstract

This paper describes a parallel processing implementation for neural computing and its application to finite element mesh design. The parallelised neural network software developed is based on the public domain NASA developed program NETS 2.01 which is based on the back propagation algorithm of Rumelhart et al. The principal focus of this research concerns the parallel implementation. Comparisons between sequential and parallel versions are given. Finally a structural design problem concerned with finite element mesh generation is solved using the parallel neural network software.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 16 NEURAL NETWORKS & COMBINATORIAL OPTIMIZATION IN CIVIL & STRUCTURAL ENGINEERING Edited by: B.H.V. Topping and A.I. Khan Paper V.1 Parallel Training of Neural Networks for Finite Element Mesh Generation A.I. Khan, B.H.V. Topping and A. Bahreininejad Heriot-Watt University, Edinburgh, Scotland doi:10.4203/ccp.16.5.1 purchase the full-text of this paper Full Bibliographic Reference for this paper A.I. Khan, B.H.V. Topping, A. Bahreininejad, "Parallel Training of Neural Networks for Finite Element Mesh Generation", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 81-94, 1993. doi:10.4203/ccp.16.5.1 Abstract This paper describes a parallel processing implementation for neural computing and its application to finite element mesh design. The parallelised neural network software developed is based on the public domain NASA developed program NETS 2.01 which is based on the back propagation algorithm of Rumelhart et al. The principal focus of this research concerns the parallel implementation. Comparisons between sequential and parallel versions are given. Finally a structural design problem concerned with finite element mesh generation is solved using the parallel neural network software. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £34 +P&P)
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