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Published in:
2009 | OriginalPaper | Chapter
Neural Network Based Cellular Automata Model for Dynamic Spatial Modeling in GIS
Authors : Yogesh Mahajan, Parvatham Venkatachalam
Published in: Computational Science and Its Applications – ICCSA 2009
Publisher: Springer Berlin Heidelberg
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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 has been done to study the effect of different NN training methods. In this article the dynamic annealing (DA) method for training NN has been compared with BP. Also the effect of various neighborhood sizes for CA has been analyzed in the context of dynamic spatial modeling for urban growth. The model has been implemented and verified for Thane city, Maharashtra state, India as this city has higher rate of urbanization compared to other cities in the state.