Parallel Processing in Neural Network for Pattern Recognition

Lubis, Chairisni and Hiryanto, Lely and Sulianto, Kurniawan (2008) Parallel Processing in Neural Network for Pattern Recognition. Karya Ilmiah Dosen. ISSN 1823-3287

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Perceptron is one of the fundamental algorithms in neural network for pattern recognition. The common problem faced in recognizing pattern using neural network is in the learning computation which is time consuming. To reduce the learning time, we develop a parallel algorithm for the perceptron learning process. To support the parallel processing on the cluster, we use MPICH for windows as message passing tool and Visual C++ 6.0 as the editor and compiler of the parallel pattern recognition program. Our experimental result of running the program in the cluster shows that the parallel process gives speedup 3 times of its sequential process.

Item Type: Article
Subjects: Penelitian > Fakultas Teknologi Informasi
Divisions: Fakultas Teknologi Informasi > Teknik Informatika
Depositing User: Puskom untar untar
Date Deposited: 30 Mar 2017 03:14
Last Modified: 30 Mar 2017 03:14

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