A Parallel Genetic/Neural Network Learning Algorithm for MIMD Shared Memory Machines

Shih-Lin Hung, H. Adeli

Research output: Contribution to journalArticlepeer-review

123 Scopus citations

Abstract

A new algorithm is presented for training of multilayer feedforward neural networks by integrating a genetic algorithm with an adaptive conjugate gradient neural network learning algorithm. The parallel hybrid learning algorithm has been implemented in C on an MIMD shared memory machine (Cray Y-MP8/864 supercomputer). It has been applied to two different domains, engineering design and image recognition. The performance of the algorithm has been evaluated by applying it to three examples. The superior convergence property of the parallel hybrid neural network learning algorithm presented in this paper is demonstrated.

Original languageEnglish
Pages (from-to)900-909
Number of pages10
JournalIEEE Transactions on Neural Networks
Volume5
Issue number6
DOIs
StatePublished - 1 Jan 1994

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