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- W753280515 abstract "The work presented in this thesis is mainly involved in the study ofArtificial Neural Networks (ANNs) and their learning strategies. The ANNsimulator incorporating the Backpropagation (BP) algorithm is designed andanalysed and run on a MIMD parallel computer namely the Balance 8000multiprocessor machine.Initially, an overview of the learning algorithms of ANNs are described.Some of the acceleration techniques including Heuristic methods for the BPlike algorithms are introduced.The software design of the simulator for both On-line and Batch BPis described. Two different strategies for parallelism are considered and theresults of the speedups of both algorithms are compared.Later a Heuristic algorithm (GRBH) for accelerating the BP methodis introduced and the results are compared with the BP using a variety ofexpositing examples.The simulator is used to train networks for invariant characterrecognition using moments. The trained networks are tested for differentexamples and the results are analysed.The thesis concludes with a chapter summarizing the main results andsuggestions for further study." @default.
- W753280515 created "2016-06-24" @default.
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- W753280515 date "1992-01-01" @default.
- W753280515 modified "2023-09-26" @default.
- W753280515 title "A study of artificial neural networks and their learning algorithms" @default.
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