Archive:: American Journal of Neural Networks and Applications:: Science Publishing Group

Volume 4, Issue 1, June 2018

BPSO Applied to TNEP Considering Adequacy Criterion

Meisam Mahdavi, Amir Bagheri

Issue: Volume 4, Issue 1, June 2018

Pages: 1-7

Received: 10 November 2017

Accepted: 19 January 2018

Published: 30 January 2018

DOI: 10.11648/j.ajnna.20180401.11

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Abstract: Different methods have been proposed to solve the static transmission network expansion planning (STNEP) problem up to now. But in all of these studies, loading of transmission lines has not been studied using binary particle swarm optimization (BPSO) algorithm. BPSO is a good optimization method to solve nonlinear large-scale problems with discret... Show More

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Architecture of the Extended-Input Binary Neural Network and Applications

Wafik Aziz Wassef

Issue: Volume 4, Issue 1, June 2018

Pages: 8-14

Received: 4 June 2018

Accepted: 20 June 2018

Published: 6 July 2018

DOI: 10.11648/j.ajnna.20180401.12

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Abstract: The proposed architecture of a binary artificial neural network is inspired by the structure and function of the major parts of the brain. Consequently it is divided into an input module that resemble the sensory (stimuli) area and an output module similar to the motor (responses) area. These two modules are single layer feed forward neural network... Show More

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An Effective Combination of Pre-Processing Technique and Deep Learning Algorithm for Hammering Sound Inspection

Balage Don Hiroshan Lakmal, Daisuke Oka, Yoichi Shiraishi, Kazuhiro Motegi

Issue: Volume 4, Issue 1, June 2018

Pages: 15-23

Received: 3 July 2018

Accepted: 6 August 2018

Published: 1 September 2018

DOI: 10.11648/j.ajnna.20180401.13

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Abstract: This paper deals with the identification problem of defective products of door strikers installed in automobiles based on their hammering sounds. The difference of the hammering sounds between defective and acceptable products is very small and each sound signal has a unique pattern. The capabilities of conventional human sensory tests are not enou... Show More

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