Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Maryam Mahsal Khan and Alexandre Mendes and 
                 Ping Zhang and Stephan K. Chalup",
  title =        "Evolving multi-dimensional wavelet neural networks for
                 classification using Cartesian Genetic Programming",
  journal =      "Neurocomputing",
  volume =       "247",
  pages =        "39--58",
  year =         "2017",
  ISSN =         "0925-2312",
  DOI =          "doi:10.1016/j.neucom.2017.03.048",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0925231217305635",
  abstract =     "Wavelet Neural Networks (WNNs) are complex artificial
                 neural systems and their training can be a challenge.
                 In the past, most common training schemes for WNNs,
                 such as gradient descent, have been restricted to
                 training only a subset of differentiable parameters. In
                 this paper, we propose an evolutionary method to train
                 both differentiable and non-differentiable parameters
                 using the concept of Cartesian Genetic Programming
                 (CGP). The approach was evaluated on the two-spiral
                 task and on real-world datasets for the detection of
                 breast cancer and Parkinson's disease. In our
                 experiments, the performance of the proposed method was
                 comparable to several standard methods of
                 classification. On the breast cancer dataset, the
                 performance was better than other non-ensemble and
                 multistep processing methods. The experimental results
                 show how the performance of WNNs depends on the number
                 of wavelons used. The presented case studies
                 demonstrate that the proposed WNNs perform
                 competitively in comparison to several other methods
                 and results reported in literature.",
  keywords =     "genetic algorithms, genetic programming,
                 Neuroevolution, Wavelet Neural Networks,

Genetic Programming entries for Maryam Mahsal Khan Alexandre Mendes Ping Zhang Stephan K Chalup