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A comprehensive study of crime detection with PCA and different neural network approach

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Main Authors: Ahmad Kadri, Junoh, Muhammad Naufal, Mansor
Other Authors: kadri@unimap.edu.my
Format: Article
Language:English
Published: Springer-Verlag 2014
Subjects:
Crime rate
Elman Neural Network
Feed Forward Neural Network and Probabilistic Neural Network
Principal Component analysis
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33872
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spelling my.unimap-338722014-04-21T03:47:22Z A comprehensive study of crime detection with PCA and different neural network approach Ahmad Kadri, Junoh Muhammad Naufal, Mansor kadri@unimap.edu.my apairia@yahoo.com Crime rate Elman Neural Network Feed Forward Neural Network and Probabilistic Neural Network Principal Component analysis Link to publisher's homepage at http://link.springer.com/ Crime rate in Malaysia is almost in awareness stage. The centre for Public Policy Studies Malaysia reports that the ratio of police to population is 3.6 officers to 1,000 citizens in Malaysia. This lack of manpower sources ratios alone are not a comprehensive afford of crime fighting capabilities. Thus, dealing with these circumstances, we present a comprehensive study to determine bandit behavior with PCA and different neural network algorithm such as Elman Neural Network (ELMNN), Feed Forward Neural Network (FFNN) and Cascade-Forward Neural Network (CFNN). This system provided a good justification as a monitoring supplementary tool for the Malaysian police arm forced. 2014-04-21T03:43:23Z 2014-04-21T03:43:23Z 2013 Article Advances in Intelligent Systems and Computing, vol. 206 AISC, 2013, pages 611-618 978-364236980-3 2194-5357 http://link.springer.com/chapter/10.1007%2F978-3-642-36981-0_56 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33872 en Springer-Verlag
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Crime rate
Elman Neural Network
Feed Forward Neural Network and Probabilistic Neural Network
Principal Component analysis
spellingShingle Crime rate
Elman Neural Network
Feed Forward Neural Network and Probabilistic Neural Network
Principal Component analysis
Ahmad Kadri, Junoh
Muhammad Naufal, Mansor
A comprehensive study of crime detection with PCA and different neural network approach
description Link to publisher's homepage at http://link.springer.com/
author2 kadri@unimap.edu.my
author_facet kadri@unimap.edu.my
Ahmad Kadri, Junoh
Muhammad Naufal, Mansor
format Article
author Ahmad Kadri, Junoh
Muhammad Naufal, Mansor
author_sort Ahmad Kadri, Junoh
title A comprehensive study of crime detection with PCA and different neural network approach
title_short A comprehensive study of crime detection with PCA and different neural network approach
title_full A comprehensive study of crime detection with PCA and different neural network approach
title_fullStr A comprehensive study of crime detection with PCA and different neural network approach
title_full_unstemmed A comprehensive study of crime detection with PCA and different neural network approach
title_sort comprehensive study of crime detection with pca and different neural network approach
publisher Springer-Verlag
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33872
_version_ 1643797321315516416
score 13.222552

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