Neural Network Based Cellular Automata Model for Dynamic Spatial Modeling in GIS

作者: Yogesh Mahajan , Parvatham Venkatachalam

DOI: 10.1007/978-3-642-02454-2_24

关键词:

摘要: The emphasis on calibration method of neural network (NN) based cellular automata (CA) models has been limited to back propagation (BP) mostly and not much work done study the effect different NN training methods. In this article dynamic annealing (DA) for compared with BP. Also various neighborhood sizes CA analyzed in context spatial modeling urban growth. model implemented verified Thane city, Maharashtra state, India as city higher rate urbanization other cities state.

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