Design of B-spline Neural Networks using a Bacterial Programming Approach

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@InProceedings{CabritaBotzheimRuanoKoczy04,

• author = "C. Cabrita and J. Botzheim and A. E. Ruano and L. T. Koczy",
• title = "Design of {B}-spline Neural Networks using a Bacterial Programming Approach",
• booktitle = "Proceedings of the International Joint Conference on Neural Networks, IJCNN 2004",
• address = "Budapest, Hungary",
• pages = "2313--2318",
• year = "2004",
• month = jul,
• 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",
• ISSN = "1098-7576",
• DOI = "doi:10.1109/IJCNN.2004.1380987",
• size = "6 pages",
• 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.",
• notes = "This is the first paper on Bacterial Programming.",

}

Genetic Programming entries for Cristiano Cabrita Janos Botzheim Antonio E Ruano Laszlo T Koczy

Citations