Artificial bee colony (ABC) optimization algorithm for training feed-forward neural networks


KARABOĞA D. , AKAY B. , ÖZTÜRK C.

4th International Conference on Modeling Decisions for Artificial Intelligence, Kitakyushu, Japan, 16 August 2007 - 18 August 2008, vol.4617, pp.318-321 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 4617
  • City: Kitakyushu
  • Country: Japan
  • Page Numbers: pp.318-321

Abstract

T raining an artificial neural network is an optimization task since it is desired to find optimal weight set of a neural network in training process. Traditional training algorithms has some drawbacks such as getting stuck in local minima and computational complexity. Therefore, evolutionary algorithms are employed to train neural networks to overcome these issues. In this work, Artificial Bee Colony (ABC) Algorithm which has good exploration and exploitation capabilities in searching optimal weight set is used in training neural networks.