Genetic Programming Techniques that Evolve Recurrent Neural Networks Architectures for Signal Processing

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{esparcia:1996:GPerNNasp,

• author = "Anna I. Esparcia-Alcazar and Kenneth C. Sharman",
• title = "Genetic Programming Techniques that Evolve Recurrent Neural Networks Architectures for Signal Processing",
• booktitle = "IEEE Workshop on Neural Networks for Signal Processing",
• year = "1996",
• month = "4-6 " # sep,
• pages = "139--148",
• address = "Seiko, Kyoto, Japan",
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, adaptive filtering, arbitrary transfer functions, design constraints, genetic programming techniques, neuronal transfer functions, online training algorithm, recurrent neural network architectures, signal processing, simulated annealing, adaptive filters, geometric programming, neural net architecture, recurrent neural nets, signal processing, simulated annealing, transfer functions",
• DOI = "doi:10.1109/NNSP.1996.548344",
• size = "10 pages",
• abstract = "We propose a novel design paradigm for recurrent neural networks. This employs a two-stage genetic programming/simulated annealing hybrid algorithm to produce a neural network which satisfies a set of design constraints. The genetic programming part of the algorithm is used to evolve the general topology of the network, along with specifications for the neuronal transfer functions, while the simulated annealing component of the algorithm adapts the network's connection weights in response to a set of training data. Our approach offers important advantages over existing methods for automated network design. Firstly, it allows us to develop recurrent network connections; secondly, we are able to employ neurones with arbitrary transfer functions, and thirdly, the approach yields an efficient and easy to implement on-line training algorithm. The procedures involved in using the GP/SA hybrid algorithm are illustrated by using it to design a neural network for adaptive filtering in a signal processing application",

}

Genetic Programming entries for Anna Esparcia-Alcazar Kenneth C Sharman

Citations