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A spatial evaluation method for earthquake disaster using optimized BP neural network model
4 references·0 citing·22 second hop
A spatial evaluation method for earthquake disaster using optimized BP neural network model (2023)A spatial evaluation method for earthquak…Forecasting CO2 emissions in Chinas commercial department, through BP neural network based on random forest and PSO (2020)Forecasting CO2 emissions in …An artificial neural network-based earthquake casualty estimation model for Istanbul city (2016)An artificial neural network-…Impact of Temporal Population Distribution on Earthquake Loss Estimation: A Case Study on Sylhet, Bangladesh (2014)Impact of Temporal Population…Regional earthquake vulnerability assessment using a combination of MCDM methods (2012)Regional earthquake vulnerabi…An overview of quantitative risk measures for loss of life and economic damage (2003)EMERGENCY MANAGEMENT AGENCY (2009)A Tale of One City: Using Cellular Network Data for Urban Planning (2011)Multi-criteria Satisfaction Assessment of the Spatial Distribution of Urban Emergency Shelters Based on High-Precision Population Estimation (2016)Risk assessment of people trapped in earthquake based on km grid: a case study of the 2014 Ludian earthquake, China (2017)A decision support model for robust allocation and routing of search and rescue resources after earthquake: a case study (2020)Multiple Attribute Decision Making (1981)Multiple Attribute Decision Making: Methods and Applications (1981)Social Vulnerability to Environmental Hazards * (2003)A Hybrid Analytic Network Process and Artificial Neural Network (ANP-ANN) Model for Urban Earthquake Vulnerability Assessment (2018)An approach for robust decision making rule generation: Solving transport and logistics decision making problems (2018)Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran (2020)Estimation of the Expected Number of Casualties Caused by Strong Earthquakes (2002)An earthquake casualty prediction method considering burial and rescue (2020)A Zoning Earthquake Casualty Prediction Model Based on Machine Learning (2021)Artificial neural network approaches for disaster management: A literature review (2022)A Review of the Stern Review on the Economics of Climate Change (2007)Temperature Shocks and Economic Growth: Evidence from the Last Half Century (2012)Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market (2014)Ensemble system for short term carbon dioxide emissions forecasting based on multi-objective tangent search algorithm (2021)A Hybrid Model with Applying Machine Learning Algorithms and Optimization Model to Forecast Greenhouse Gas Emissions with Energy Market Data (2022)Carbon emission prediction models: A review (2024)
this work references cited by second hop

References

  • 2020Forecasting CO2 emissions in Chinas commercial department, through BP neural network based on random forest and PSO178 cited
  • 2012Regional earthquake vulnerability assessment using a combination of MCDM methods80 cited
  • 2016An artificial neural network-based earthquake casualty estimation model for Istanbul city46 cited
  • 2014Impact of Temporal Population Distribution on Earthquake Loss Estimation: A Case Study on Sylhet, Bangladesh41 cited

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