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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/2012

Title: Neural network based cellular automata model for dynamic spatial modeling in GIS
Authors: MAHAJAN, Y
VENKATACHALAM, P
Issue Date: 2009
Publisher: SPRINGER-VERLAG BERLIN
Citation: COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2009, PT I,5592,341-352
Abstract: 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.
URI: http://dspace.library.iitb.ac.in/xmlui/handle/10054/15290
http://hdl.handle.net/100/2012
ISBN: 978-3-642-02453-5
ISSN: 0302-9743
Appears in Collections:Proceedings papers

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