Back Propagation Based Firefly Algorithm for Character Recognition

  • Infanta Margret Frolic A Dept of Computer science, SSN College of Engineering, Chennai, India
  • Bhuvana J Dept of Computer science, SSN College of Engineering, Chennai, India


Back Propagation (BP) in neural networks is a common technique used for character recognition which compute the output using feed forward network, calculate and back propagate the error signal through the network. The performance of back propagation falls off rapidly into local minima and suffers from slow convergences. To overcome this, back propagation is combined with other search algorithms such as genetic algorithm, firefly algorithm, particle swarm optimization, etc. The firefly algorithm which has advantage of high convergence rate and each firefly individually finds global optima in less number of iterations. In proposed work, firefly algorithm is combined with back propagation for character recognition.


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How to Cite
Frolic A, I. M., & J, B. (2016). Back Propagation Based Firefly Algorithm for Character Recognition. COMPUSOFT: An International Journal of Advanced Computer Technology. Retrieved from