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Evolving Cellular Automata as Pattern Classifier

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Cellular Automata (ACRI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2493))

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Abstract

This paper reports a high speed, low cost pattern classifier based on the sparse network of Cellular Automata. High quality of classification of patterns with or without noise has been demonstrated through theoretical analysis supported with extensive experimental results.

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References

  1. P. Pal Chaudhuri, D. Roy Choudhury, S. Nandi and S. Chattopadhyay. Additive Cellular Automata Theory and Applications. IEEE Computer Society Press, California, USA, 1997.

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  2. S. Wolfram, Theory and applications of cellular automata. Singapore: World Scientific, 1986. ISBN 9971-50-124-4 pbk.

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  3. Niloy Ganguly, “Cellular Automata Evolution: Theory and Applications in Pattern Recognition and Classification”, Ph.D thesis (proposal) CST Dept. BECDU India.

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© 2002 Springer-Verlag Berlin Heidelberg

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Ganguly, N., Maji, P., Dhar, S., Sikdar, B.K., Chaudhuri, P.P. (2002). Evolving Cellular Automata as Pattern Classifier. In: Bandini, S., Chopard, B., Tomassini, M. (eds) Cellular Automata. ACRI 2002. Lecture Notes in Computer Science, vol 2493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45830-1_6

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  • DOI: https://doi.org/10.1007/3-540-45830-1_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44304-9

  • Online ISBN: 978-3-540-45830-2

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