Design of B-spline Neural Networks using a Bacterial Programming Approach
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{CabritaBotzheimRuanoKoczy04,
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author = "C. Cabrita and J. Botzheim and A. E. Ruano and
L. T. Koczy",
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title = "Design of {B}-spline Neural Networks using a Bacterial
Programming Approach",
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booktitle = "Proceedings of the International Joint Conference on
Neural Networks, IJCNN 2004",
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address = "Budapest, Hungary",
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pages = "2313--2318",
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year = "2004",
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month = jul,
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keywords = "genetic algorithms, genetic programming, Evolution
(biology), Evolutionary computation, Informatics,
Intelligent networks, Intelligent systems,
Microorganisms, Neural networks, Spline,
Telecommunication network topology, evolution
(biological), microorganisms, neural nets, splines
(mathematics), B-spline neural network design,
bacterial programming method, heuristics method,
microbial evolution phenomenon",
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ISSN = "1098-7576",
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DOI = "doi:10.1109/IJCNN.2004.1380987",
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size = "6 pages",
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abstract = "The design phase of B-spline neural networks
represents a very high computational task. For this
purpose, heuristics have been developed, but have been
shown to be dependent on the initial conditions
employed. In this paper a new technique, Bacterial
Programming, is proposed, whose principles are based on
the replication of the microbial evolution phenomenon.
The performance of this approach is illustrated and
compared with existing alternatives.",
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notes = "This is the first paper on Bacterial Programming.",
- }
Genetic Programming entries for
Cristiano Cabrita
Janos Botzheim
Antonio E Ruano
Laszlo T Koczy
Citations