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.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Kumaravel, G., Kumar, C. (2012). A Novel Bats Echolocation System Based Back Propagation Algorithm for Feed Forward Neural Network. In: Das, V.V., Ariwa, E., Rahayu, S.B. (eds) Signal Processing and Information Technology. SPIT 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32573-1_10
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DOI: https://doi.org/10.1007/978-3-642-32573-1_10
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