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Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers

Research Article

A Novel Bats Echolocation System Based Back Propagation Algorithm for Feed Forward Neural Network

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  • @INPROCEEDINGS{10.1007/978-3-642-32573-1_10,
        author={G. Kumaravel and C. Kumar},
        title={A Novel Bats Echolocation System Based Back Propagation Algorithm for Feed Forward Neural Network},
        proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers},
        proceedings_a={SPIT \& IPC},
        year={2012},
        month={10},
        keywords={Feed Forward Neural Network Swarm intelligence Back Propagation algorithm Bats Echolocation System},
        doi={10.1007/978-3-642-32573-1_10}
    }
    
  • G. Kumaravel
    C. Kumar
    Year: 2012
    A Novel Bats Echolocation System Based Back Propagation Algorithm for Feed Forward Neural Network
    SPIT & IPC
    Springer
    DOI: 10.1007/978-3-642-32573-1_10
G. Kumaravel1,*, C. Kumar2,*
  • 1: Sathyabama University
  • 2: SKP Engineering College
*Contact email: gkumar_aec@yahoo.com, drchkumararima@gmail.com

Abstract

Recently several research works have been done on supervised learning in Feed Forward Neural Networks based on different Swarm intelligence techniques rather than conventional Back Propagation algorithm. This paper discussed about the Bats Echolocation System based Back Propagation algorithm as a learning rule for Feed Forward Network. It was found that it increases the learning rate of the network. The performance of Bats Echolocation system based Back Propagation algorithm was validated by simulation and results were compared with conventional Back Propagation algorithm in terms of convergence speed.

Keywords
Feed Forward Neural Network Swarm intelligence Back Propagation algorithm Bats Echolocation System
Published
2012-10-08
http://dx.doi.org/10.1007/978-3-642-32573-1_10
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