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Neural network based cellular automata model for dynamic spatial modeling in GIS

DSpace at IIT Bombay

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Title Neural network based cellular automata model for dynamic spatial modeling in GIS
 
Creator MAHAJAN, Y
VENKATACHALAM, P
 
Subject cellular automata
dynamic spatial modeling
neural network
urban growth
simulated annealing
geographic information system
 
Description 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.
 
Publisher SPRINGER-VERLAG BERLIN
 
Date 2011-10-24T01:03:48Z
2011-12-15T09:11:21Z
2011-10-24T01:03:48Z
2011-12-15T09:11:21Z
2009
 
Type Proceedings Paper
 
Identifier COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2009, PT I,5592,341-352
978-3-642-02453-5
0302-9743
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15290
http://hdl.handle.net/100/2012
 
Source International Conference on Computational Science and Its Applications (ICCSA 2009),Seoul, SOUTH KOREA,JUN 29-JUL 02, 2009
 
Language English