Archive:: Automation, Control and Intelligent Systems:: Science Publishing Group

Volume 1, Issue 5, October 2013

On the Warning System of Obstacle Avoidance of Embedded Electronic Guide Dogs

YUE Xiangyu

Issue: Volume 1, Issue 5, October 2013

Pages: 99-102

Received: 4 August 2013

Published: 10 September 2013

DOI: 10.11648/j.acis.20130105.11

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Abstract: With the rapid development of China's transportation, the frequency of traffic accidents is also high. This not only restricted the development of China's transportation greatly, but also threatened to people's safety seriously. In particular, the accidents caused by the blind due to there are more frequent reproduction, so their traffic safety has... Show More

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Classification Credit Dataset Using Particle Swarm Optimization and Probabilistic Neural Network Models Based on the Dynamic Decay Learning Algorithm

Reza Narimani, Ahmad Narimani

Issue: Volume 1, Issue 5, October 2013

Pages: 103-112

Received: 18 August 2013

Published: 20 September 2013

DOI: 10.11648/j.acis.20130105.12

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Abstract: This paper describes a credit risk evaluation system that uses supervised probabilistic neural network (PNN) models based on the Dynamic Decay learning algorithm (DDA). The PNN-DDA has two parameters called positive and negative threshold. This learning algorithm trains very quickly. Thus it makes sense that we use a meta-heuristic algorithm such a... Show More

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A Comparative Evolutionary Models for Solving Sudoku

A. A. Ojugo., D. Oyemade., R. E. Yoro., A. O. Eboka., M. O. Yerokun, E. Ugboh

Issue: Volume 1, Issue 5, October 2013

Pages: 113-120

Received: 8 July 2013

Published: 10 November 2013

DOI: 10.11648/j.acis.20130105.13

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Abstract: Evolutionary algorithms have become robust tool in data processing and modeling of dynamic, complex and non-linear processes due to their flexible mathematical structure to yield optimal results even with imprecise, ambiguity and noise at its input. The study investigates evolutionary algorithms for solving Sudoku task. Various hybrids are presente... Show More

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