An improved PSO-based ANN with simulated annealing technique

نویسندگان

  • Yi Da
  • Ge Xiurun
چکیده

This paper presents a modified particle swarm optimization (PSO) with simulated annealing (SA) technique. An improved PSO-based artificial neural network (ANN) is developed. The results show that the proposed SAPSO-based ANN has a better ability to escape from a local optimum and is more effective than the conventional PSO-based ANN. r 2004 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Neurocomputing

دوره 63  شماره 

صفحات  -

تاریخ انتشار 2005