# Minimal Architecture and Training Parameters of Multilayer Perceptron for its Efficient Parallelization

### Volodymyr Turchenko, Lucio Grandinetti

#### 2009

#### Abstract

The development of a parallel algorithm for batch pattern training of a multilayer perceptron with the back propagation algorithm and the research of its efficiency on a general-purpose parallel computer are presented in this paper. The multilayer perceptron model and the usual sequential batch pattern training algorithm are theoretically described. An algorithmic description of the parallel version of the batch pattern training method is introduced. The efficiency of the developed parallel algorithm is investigated by progressively increasing the dimension of the parallelized problem on a general-purpose parallel computer NEC TX-7. A minimal architecture for the multilayer perceptron and its training parameters for an efficient parallelization are given.

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#### Paper Citation

#### in Harvard Style

Turchenko V. and Grandinetti L. (2009). **Minimal Architecture and Training Parameters of Multilayer Perceptron for its Efficient Parallelization ** . In *Proceedings of the 5th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2009)* ISBN 978-989-674-002-3, pages 79-87. DOI: 10.5220/0002265800790087

#### in Bibtex Style

@conference{workshop anniip09,

author={Volodymyr Turchenko and Lucio Grandinetti},

title={Minimal Architecture and Training Parameters of Multilayer Perceptron for its Efficient Parallelization },

booktitle={Proceedings of the 5th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2009)},

year={2009},

pages={79-87},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0002265800790087},

isbn={978-989-674-002-3},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2009)

TI - Minimal Architecture and Training Parameters of Multilayer Perceptron for its Efficient Parallelization

SN - 978-989-674-002-3

AU - Turchenko V.

AU - Grandinetti L.

PY - 2009

SP - 79

EP - 87

DO - 10.5220/0002265800790087