Modular Neural Networks Evolved by Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8194
- @InProceedings{cho:1996:mNNeGP,
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author = "Sung-Bae Cho and Katsunori Shimohara",
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title = "Modular Neural Networks Evolved by Genetic
Programming",
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booktitle = "Proceedings of the 1996 {IEEE} International
Conference on Evolutionary Computation",
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year = "1996",
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volume = "1",
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pages = "681--684",
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address = "Nagoya, Japan",
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month = "20-22 " # may,
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organisation = "IEEE Neural Network Council",
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keywords = "genetic algorithms, genetic programming, Khepera,
artificial life, artificial neural network, behavior
based robots, control system design, evolutionary
mechanism, evolvable model, genetic programming,
handwritten digits, modular neural networks, network
architectures, randomly connected networks, visual
categorization task, intelligent control, neural net
architecture, neurocontrollers, systems analysis",
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ISBN = "0-7803-2902-3",
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DOI = "doi:10.1109/ICEC.1996.542683",
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size = "4 pages",
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abstract = "In this paper we present an evolvable model of modular
neural networks which are rich in autonomy and
creativity. In order to build an artificial neural
network which is rich in autonomy and creativity, we
have adopted the ideas and methodologies of Artificial
Life. This paper describes the concepts and
methodologies for the evolvable model of modular neural
networks, which will be able not only to develop new
functionality spontaneously but also to grow and evolve
its own structure autonomously. Although the ultimate
goal of this model is to design the control system for
such behaviour-based robots as Khepera, we have
attempted to apply the mechanism to a visual
categorisation task with handwritten digits. The
evolutionary mechanism has shown a strong possibility
to generate useful network architectures from an
initial set of randomly-connected networks.",
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notes = "ICEC-96 Evolves ANN network for recognising human
written characters",
- }
Genetic Programming entries for
Sung Bae Cho
Katsunori Shimohara
Citations