Characterizing signal behaviour using genetic programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1143, Issue , 1996, Pages 62-72

  Jonsson, Per ^a   Barklund, Jonas ^a  

^a UPPSALA UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; GENETIC ALGORITHMS; GENETIC PROGRAMMING;

MOVING AVERAGES;

SIGNAL DETECTION;

EID: 34547884710     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0032773     Document Type: Conference Paper

References (8)

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3. Erlbaum, editor. Reducing bias and inefficiency in the selection algorithm. International Conference on Genetic Algorithms and their Applications, 1985.
4. J. R. Koza. Genetic Programming -- On the programming of computers by means of natural selection. MIT Press, Cambridge, Mass., 1992.
5. J. Y. B. Lee and P. C. Wong. The effect of function noise on GP efficiency. In X. Yao, editor, Progress in Evolutionary Computation, volume 956 of Lecture Notes in Artificial Intelligence, pages 1-16. Springer-Verlag, Heidelberg, Germany, 1995.
6. A. V. Oppenheim and A. S. Willsky. Signals and Systems. Prentice-Hall, 1983.
7. K. C. Sharman, A. I. E. Alcazar, and Y. Li. Evolving signal processing algorithms by genetic programming. Technical report, University of Glasgow, 1994.
8. W. A. Tackett. Mining the genetic program. IEEE Expert, jun 1995.