A Double layered Crime Governance Model Based on BP Neural Network and TF-IDF Algorithm

Zhijie Sun; Zehao Su; Yuyu Zhang; Rui Hou

doi:10.54097/g3dsh592

Authors

Zhijie Sun
Zehao Su
Yuyu Zhang
Rui Hou

DOI:

https://doi.org/10.54097/g3dsh592

Keywords:

Double layered crime governance model, Intelligence, BP neural network, TF-IDF algorithm.

Abstract

The main methods of crime governance are pre prevention and post crackdown. With the development of intelligence and information technology, public security work has also ushered in new opportunities and challenges. This paper used intelligent algorithms and combines crime characteristics with existing big data resources in the public security system to propose a multidimensional facial recognition model based on TF-IDF algorithm, and combines it with a crime warning model based on BP neural network to form a closed crime governance chain of pre crime prevention and post crime investigation. This dual guarantee of crime governance is of great significance in reducing crime incidence, improving case solving accuracy and efficiency, enhancing people's sense of security, and ensuring social security and stability.

Downloads

Download data is not yet available.

References

[1] Wang L, Tang X, Fan J, et al. Prediction of firing accuracy of self-propelled antiaircraft gun in marching fire based on GA-BP neural network [J]. IOP Publishing Ltd, 2023.

[2] Yang M, Huang H, Li S, et al. A BP Neural Network-Based Method for Evaluating the Quality of Creative Education in Minority Regions [J]. Journal of Circuits, Systems and Computers, 2023, 32 (16).

[3] Mendrofa G A, Handari B D, Hertono G F. Ensemble learning model on Artificial Neural Network - Backpropagation (ANN-BP) architecture for coal pillar stability classification [J]. 2024.

[4] Yu J Y, Chen J. Research on Evaluation Model of Entrepreneurship Education Based on BP Neural Network [J]. Journal of Information & Knowledge Management, 2023.

[5] Wu L, Zhang Y, Wei Y, et al.A BP Neural Network-Based GIS-Data-Driven Automated Valuation Framework for Benchmark Land Price [J]. Complexity, 2022, 2022.

[6] Ji Ce Z X. Channel Estimation Algorithm of OFDM System Based on GSA-BP Neural Network[J]. Journal of Northeastern University (Natural Science), 2022, 43 (6): 769 - 775.

[7] Li Q, Su X, Xie X, et al. Accuracy Analysis of Error Compensation in the Ionospheric Model of BDS Broadcasting Based on ABC-BP Neural Network [J]. 2022.

[8] Chai Z L, Zhou C L, Guo R, et al. Research on the Model of Scale Removal under Slurry Impact Based on BP Neural Network [J]. JOM, 2024 (1): 76.

[9] Zhu Y, Wang C. Study on Compensation of Blood Oxygen Sensor's Ambient Light Based on GA-BP Neural Network [J]. IOP Publishing Ltd, 2023.

[10] Wu Y C, Zhang G M. Design of a prediction model based on improved BP neural network and particle swarm optimization for more accurate budget of biogas production [J]. IOP Publishing Ltd, 2023.