Neural network based cellular automata model for dynamic spatial modeling in GIS
DSpace at IIT Bombay
View Archive InfoField | Value | |
Title |
Neural network based cellular automata model for dynamic spatial modeling in GIS
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Creator |
MAHAJAN, Y
VENKATACHALAM, P |
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Subject |
cellular automata
dynamic spatial modeling neural network urban growth simulated annealing geographic information system |
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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.
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Publisher |
SPRINGER-VERLAG BERLIN
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Date |
2011-10-24T01:03:48Z
2011-12-15T09:11:21Z 2011-10-24T01:03:48Z 2011-12-15T09:11:21Z 2009 |
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Type |
Proceedings Paper
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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 |
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Source |
International Conference on Computational Science and Its Applications (ICCSA 2009),Seoul, SOUTH KOREA,JUN 29-JUL 02, 2009
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Language |
English
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