Path: TopGray LiteraturesAAdang_Suwandi_Ahmad2000

A Design and An Implementation of Parallel Batch-mode Neural Networks on Parallel Virtual Machines

Gray literature from JBPTITBPP / 2007-02-14 18:46:57
Oleh : Adang Suwandi, DR. IR.
Dibuat : 2000-00-00, dengan 1 file

Keyword : artificial neural network; backpropagation; parallel algorithm; PVM

A parallel computation process such a computation process of an Artificial Neural Network (ANN) is better to be done in parallel processors but this is very expensive. Therefore, to reduce the cost, this paper proposes a method to emulate the computation process of ANN in a parallel mode. The method implements a virtual parallel machine through several sequential machines operated in a concurrent mode. It utilizes UNIX operating system capabilities to manage inter-processor communication and other computation resources. This method is a development of a sequential feed-forward algorithm into a parallel programming algorithm on virtual parallel machines based on the PVM developed by Oak Ridge National Laboratory and it is adapted into ITB Network environment

Deskripsi Alternatif :

A parallel computation process such a computation process of an Artificial Neural Network (ANN) is better to be done in parallel processors but this is very expensive. Therefore, to reduce the cost, this paper proposes a method to emulate the computation process of ANN in a parallel mode. The method implements a virtual parallel machine through several sequential machines operated in a concurrent mode. It utilizes UNIX operating system capabilities to manage inter-processor communication and other computation resources. This method is a development of a sequential feed-forward algorithm into a parallel programming algorithm on virtual parallel machines based on the PVM developed by Oak Ridge National Laboratory and it is adapted into ITB Network environment

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