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

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Computational Science and Its Applications – ICCSA 2009 (ICCSA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5592))

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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.

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Author information

Authors and Affiliations

  1. Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India

    Yogesh Mahajan & Parvatham Venkatachalam

Authors
  1. Yogesh Mahajan
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  2. Parvatham Venkatachalam
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  2. School of Business Systems, Monash University, 3800, Clayton, Victoria, Australia

    David Taniar

  3. L.I.S.U.T. - D.A.P.I.T., University of Basilicata, Viale dell’Ateneo Lucano 10, 85100, Potenza, Italy

    Beniamino Murgante

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, 06123, Perugia, Italy

    Antonio Laganà

  5. School of Computing, Computer Communication Laboratory, SoongSil University, 1-1 Sang-do 5 Dong, Dong-jak Ku, 156-743, Seoul, Korea

    Youngsong Mun

  6. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

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© 2009 Springer-Verlag Berlin Heidelberg

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Mahajan, Y., Venkatachalam, P. (2009). Neural Network Based Cellular Automata Model for Dynamic Spatial Modeling in GIS. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2009. ICCSA 2009. Lecture Notes in Computer Science, vol 5592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02454-2_24

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  • DOI: https://doi.org/10.1007/978-3-642-02454-2_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02453-5

  • Online ISBN: 978-3-642-02454-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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