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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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-33872
record_format	dspace
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

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

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