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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

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.

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