Evolutionary construction and adaptation of intelligent systems
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- @Article{Font20107711,
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author = "Jose M. Font and Daniel Manrique and Juan Rios",
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title = "Evolutionary construction and adaptation of
intelligent systems",
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journal = "Expert Systems with Applications",
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volume = "37",
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number = "12",
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pages = "7711--7720",
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year = "2010",
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ISSN = "0957-4174",
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DOI = "doi:10.1016/j.eswa.2010.04.070",
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URL = "http://www.sciencedirect.com/science/article/B6V03-501FPHF-C/2/9a2d947791e5706c203b3fed536a0e36",
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keywords = "genetic algorithms, genetic programming, Evolutionary
computation, Intelligent systems, Rule-based systems,
Fuzzy rule-based systems, Artificial neural networks,
Medical prognosis",
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abstract = "This paper introduces evolutionary techniques for
automatically constructing intelligent self-adapting
systems, capable of modifying their inner structure in
order to learn from experience and self-adapt to a
changing environment. These evolutionary techniques
comprise an evolutionary system that is engineered by
grammar-guided genetic programming, enabling the
development of sub-symbolic and symbolic intelligent
systems: artificial neural networks and knowledge-based
systems, respectively. A context-free-grammar based
codification system for artificial neural networks and
rules, an initialisation method and a crossover
operator have been designed to properly balance the
exploration and exploitation capabilities of the
proposed system. This speeds up the convergence process
and avoids trapping in local optima. This system has
been applied to a medical domain: the detection of knee
injuries from the analysis of isokinetic time series.
The results of the evolved symbolic and sub-symbolic
intelligent systems have been statistically compared
with each other as part of a quantitative and
qualitative performance analysis.",
- }
Genetic Programming entries for
Jose M Font
Daniel Manrique Gamo
Juan Rios Carrion
Citations