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Analysis of Fire Rescue Problems Based on Prediction and Fitting Algorithm

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DOI: 10.23977/jnca.2021.060103 | Downloads: 5 | Views: 346


Tong Liu 1, Zhuoyan Zhou 1, Bofei Li 1


1 College of Physics and Optoelectronic Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, 210044

Corresponding Author

Tong Liu


This paper studies the problem of fire rescue. According to the population, area, police situation and other data in different regions of the area, the number of police calls is predicted. Firstly, according to the data from 2016 to 2019, draw the image of the number of alarms changing with months; Then, polynomial model fitting and local weighted regression are used to predict the data in 2020 and compared with the real value; The square loss function is used to evaluate the accuracy of the model, and then the sensitivity analysis is carried out to evaluate the stability of the model; Finally, the model is used to predict the number of fire rescue calls in each month of 2021.


Biharmonic Spline Interpolation, Polynomial Fitting, Bicubic Interpolation


Tong Liu, Zhuoyan Zhou, Bofei Li. Analysis of Fire Rescue Problems Based on Prediction and Fitting Algorithm. Journal of Network Computing and Applications (2021) 6: 11-15. DOI:


[1] Xia Jizhuang, application of Biharmonic spline interpolation method in logging and seismic data integration, oil and gas geology, Vol. 31, No. 2
[2] Shi Yongsheng, Sun Ye. Bessel fitting image restoration algorithm based on wavelet bicube matching interpolation. Science, technology and engineering, Vol. 20, No. 23
[3] Ji Linlin, Wang Ping, Zhang Yunfeng, bicubic Image Magnification Based on local interpolation, Journal of graphics, Vol. 40, No. 1

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