Comparing three transition potential models: A case study of built-up transitions in North-East India

Computers, Environment and Urban Systems

Volumn 59, Issue , 2016, Pages 38-49

  Mozumder, Chitrini ^a,b   Tripathi, N K ^a   Losiri, Chudech ^a  

^a ASIAN INSTITUTE OF TECHNOLOGY   (Thailand)

^b SULTAN QABOOS UNIVERSITY   (Oman)

Author keywords

Land Use Land Cover; Logistic Regression; Multi Layer Perceptron Neural Network; Similarity Weighted Instance based Learning; Transition potential modelling

Indexed keywords

DECISION MAKING; LAND USE; LEARNING SYSTEMS; LOGISTIC REGRESSION; NETWORK LAYERS;

ACCURATE PREDICTION; DRIVING FACTORS; GROWTH MODELLING; INSTANCE BASED LEARNING; LAND USE/ LAND COVERS; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; NORTH- EAST INDIA; REGION-BASED METHODS;

MULTILAYER NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; LAND COVER; LAND USE CHANGE; MODELING; REGRESSION ANALYSIS; TOPOGRAPHIC MAPPING;

ASSAM; GAUHATI; INDIA;

EID: 84969260555     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2016.04.009     Document Type: Article

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