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

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 publicationIEEE International Conference on Neural Networks - Conference Proceedings
Pages2313-2318
Number of pages6
Volume3
DOIs
Publication statusPublished - 2004
Event2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary
Duration: Jul 25 2004Jul 29 2004

Other

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

Fingerprint

Splines
Neural networks

ASJC Scopus subject areas

  • Software

Cite this

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

Design of B-spline neural networks using a bacterial programming approach. / Cabrita, C.; Botzheim, J.; Ruano, A. E.; Kóczy, L.

IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 3 2004. p. 2313-2318.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cabrita, C, Botzheim, J, Ruano, AE & Kóczy, L 2004, Design of B-spline neural networks using a bacterial programming approach. in IEEE International Conference on Neural Networks - Conference Proceedings. vol. 3, pp. 2313-2318, 2004 IEEE International Joint Conference on Neural Networks - Proceedings, Budapest, Hungary, 7/25/04. https://doi.org/10.1109/IJCNN.2004.1380987
Cabrita C, Botzheim J, Ruano AE, Kóczy L. Design of B-spline neural networks using a bacterial programming approach. In IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 3. 2004. p. 2313-2318 https://doi.org/10.1109/IJCNN.2004.1380987
Cabrita, C. ; Botzheim, J. ; Ruano, A. E. ; Kóczy, L. / Design of B-spline neural networks using a bacterial programming approach. IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 3 2004. pp. 2313-2318
@inproceedings{80da0b793aff444a8d3ce498cb326006,
title = "Design of B-spline neural networks using a bacterial programming approach",
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.",
author = "C. Cabrita and J. Botzheim and Ruano, {A. E.} and L. K{\'o}czy",
year = "2004",
doi = "10.1109/IJCNN.2004.1380987",
language = "English",
isbn = "0780383591",
volume = "3",
pages = "2313--2318",
booktitle = "IEEE International Conference on Neural Networks - Conference Proceedings",

}

TY - GEN

T1 - Design of B-spline neural networks using a bacterial programming approach

AU - Cabrita, C.

AU - Botzheim, J.

AU - Ruano, A. E.

AU - Kóczy, L.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=10844247990&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=10844247990&partnerID=8YFLogxK

U2 - 10.1109/IJCNN.2004.1380987

DO - 10.1109/IJCNN.2004.1380987

M3 - Conference contribution

AN - SCOPUS:10844247990

SN - 0780383591

VL - 3

SP - 2313

EP - 2318

BT - IEEE International Conference on Neural Networks - Conference Proceedings

ER -