Design of B-spline neural networks using a bacterial programming approach

C. Cabrita, J. Botzheim, A. E. Ruano, L. T. Kóczy

Research output: Conference contribution

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2004 IEEE International Joint Conference on Neural Networks - Proceedings
Pages2313-2318
Number of pages6
DOIs
Publication statusPublished - dec. 1 2004
Event2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary
Duration: júl. 25 2004júl. 29 2004

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
Volume3
ISSN (Print)1098-7576

Other

Other2004 IEEE International Joint Conference on Neural Networks - Proceedings
CountryHungary
CityBudapest
Period7/25/047/29/04

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ASJC Scopus subject areas

  • Software

Cite this

Cabrita, C., Botzheim, J., Ruano, A. E., & Kóczy, L. T. (2004). Design of B-spline neural networks using a bacterial programming approach. In 2004 IEEE International Joint Conference on Neural Networks - Proceedings (pp. 2313-2318). (IEEE International Conference on Neural Networks - Conference Proceedings; Vol. 3). https://doi.org/10.1109/IJCNN.2004.1380987