Training multiple-layer perceptrons to recognize attractors

  • Authors:
  • G. W. Greenwood

  • Affiliations:
  • Dept. of Electr. & Comput. Eng., Western Michigan Univ., Kalamazoo, MI

  • Venue:
  • IEEE Transactions on Evolutionary Computation
  • Year:
  • 1997

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Abstract

Determining the long-term behavior in dynamical systems is an area of intense research interest. In this paper, a multilayer perceptron is used to perform this task. The network is trained using an evolution strategy. A comparison against backpropagation-trained networks was performed, and the results indicate evolution strategies produce better performing networks