Integrated model for land-use transformation analysis based on multi-layer perception neural network and agent-based model

Application of urban growth boundary delineation based on a neural network approach and landscape metrics for Khulna City, Bangladesh

“…In recent decades, several models have been developed using GIS (Geographic Information System) and RS (Remote Sensing) techniques to demarcate UGB; for example, (1) hybrid approaches [ 18 ] (2) agent-based approaches [ 19 ] (3) SLR-UGB [ 17 ], (4) cellular automata-based model [ [20] , [21] ], (5) machine learning model [ [22] , [23] ]. Moreover, [ 24 ]prioritize ecological protection through dual-environmental evaluation and the future land-use simulation model to demarcate UGB along with landscape metrics.…”