Modelling land-cover changes using Multi-layer Perceptron Neural Network and Cellular Automata
Land-Use Change PredictionMulti-layer PerceptronMarkov Chain
پروفایل پژوهشگر
Parham Pahlavani
۵مقاله
۰کنفرانس
مقالات Parham Pahlavani
Modelling and Predicting Multiple Land Use/Land Cover Changes Using SimWeight Method with Choice Approach among Existing Options
Land-use Change PredictionSimWeightCramer’s V
Providing Classification Map of PM2.5 Air Pollution Using Decision Tree and Random Forest methods
Air pollutionPM2.5Decision Tree
Multi Logistic Regression Model for Simulating Multiple Land Use Changes; a Case Study: Tehran, Iran
Multi Logistic RegressionLand use changesROC
Determining Effective Factors on Forest Fire Using Geographically Weighted Regression, a Case Study: Golestan, Iran
Geographically Weighted RegressionForest FireHuman-caused fires