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The impact of criminal psychology trend prediction based on deep learning algorithm and three-dimensional convolutional neural network

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Abstract

To enhance crime prevention, methods of predicting crime trends are researched. First, the concepts and theories of criminal psychology are analyzed. Second, the Convolutional Neural Network (CNN) principles in deep learning are studied. Third, a 3D-CNN model is established and utilized to construct a crime prediction model. Finally, data mining and cloud computing techniques are employed to store and calculate massive amounts of data. The constructed crime prediction model analyzes the information and data in the cloud computing platform and evaluates the model’s prediction effect on crime trends. Six hundred sets of behavior data are extracted as a training dataset and 100 sets of data as a testing dataset. Results demonstrate that the established 3D-CNN can extract information features from continuous multi-frame cube data and acquire features of spatial–temporal dimensions. When the learning rate is 0.01, the loss value begins to decrease rapidly and then stabilizes. When the learning rate is 0.001, the loss decreases relatively slowly and eventually stabilizes. As the iteration times of CNN increase, the algorithm’s error rate first decreases and then increases. The cloud computing platform can store a large amount of data to facilitate video data calls and analyses. Combining the information and data of past crimes can accurately predict future crime trends.

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Acknowledgements

This project was supported by Ministry of Education humanities and social sciences youth fund project (18YJC820067) and Key Project of Education Department of Anhui Province (gxyqZD2019138).

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Authors and Affiliations

  1. Criminal Law College, East China University of Political Science and Law, Shanghai, China

    Yilan Wu

  2. Police Department, Anhui Vocational College of Police Officers, Hefei, China

    Yilan Wu

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  1. Yilan Wu
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Correspondence to Yilan Wu.

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Wu, Y. The impact of criminal psychology trend prediction based on deep learning algorithm and three-dimensional convolutional neural network. J Ambient Intell Human Comput (2021). https://doi.org/10.1007/s12652-021-03455-8

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