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Full-Text Articles in Physical Sciences and Mathematics

The Artificial Intelligence As A Decision-Making Instrument For Modeling And Predicting Small Cities’ Attractiveness: Evidence From Morocco, Sohaib Khalid, Driss Effina, Khaoula Rihab Khalid, Mohamed Salem Chaabane Sep 2023

The Artificial Intelligence As A Decision-Making Instrument For Modeling And Predicting Small Cities’ Attractiveness: Evidence From Morocco, Sohaib Khalid, Driss Effina, Khaoula Rihab Khalid, Mohamed Salem Chaabane

Applied Mathematics & Information Sciences

This study analyzes residential attractiveness in small Moroccan cities using statistical models. Net migration rates are commonly used to assess attractiveness. The study estimated net migration rates for each city and employed a structural econometric model with logistic regression to identify influential variables that affect the net migration rate. These variables were then used in a predictive model with an artificial neural network algorithm. The logistic model revealed insights, highlighting the complexity of residential attractiveness influenced by factors like job supply, accessibility, and housing conditions. The artificial neural network model provided accurate predictions (over 80%), aiding policymakers in decision-making and …


Direct Current Resistivity Method For The Advance Prediction Of Water Hazards In Coal Mines Based On An Artificial Neural Network, Li Yuteng, Cheng Jianyuan, Lu Jingjin, Dai Fengqiang, Wu Zhengfei, Fang Zhe, Zhao Jiajia Jun 2023

Direct Current Resistivity Method For The Advance Prediction Of Water Hazards In Coal Mines Based On An Artificial Neural Network, Li Yuteng, Cheng Jianyuan, Lu Jingjin, Dai Fengqiang, Wu Zhengfei, Fang Zhe, Zhao Jiajia

Coal Geology & Exploration

The mine Direct Current (DC) resistivity method has the characteristics of high construction efficiency and low cost, which is widely used in the advanced detection of water hazards in coal mine heading face.With the continuous deepening of applications, higher requirements have been put forward for the advanced detection signal processing method of mine DC resistivity method. Based on the response information database obtained by finite element method and data reconstruction, the Levenberg-Marquardt (L-M) artificial neural network method is used to realize the advanced prediction of mine DC resistivity method. First, this study established an advanced prediction model of the DC …