Structural adaptation of B-spline networks using genetic algorithms

International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications

Volumn 6, Issue 3, 1998, Pages 147-152

  Menken, Gerd J ^a  

^a UNIVERSITY OF BREMEN   (Germany)

Author keywords

B spline networks; Genetic algorithms; Structural adaptation

Indexed keywords

MATHEMATICAL MODELS; NONLINEAR SYSTEMS; OPTIMIZATION; PATTERN RECOGNITION; PROBLEM SOLVING;

B-SPLINE NETWORKS; STRUCTURAL ADAPTATION;

GENETIC ALGORITHMS;

EID: 0032154080     PISSN: 09691170     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. M. Brown and C. Harris. Neurofuzzy Adaptive Modelling and Control. Prentice Hall, New York, 1994.
2. T. Kavli. ASMOD - An Algorithm for Adaptive Spline Modelling of Observation Data International Journal of Control, 58(4): 947-967, 1993.
3. G.-J. Menken. Modular strukturierte B-Spline Netzwerke zur Modellierung und Regelung dynamischer Prozesse. Dissertation, Institut für Automatisierungstechnik, Universität Bremen. 1996.
4. F. Rosenblatt. The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 65: 386-408, 1958.
5. M. G. Cox. Practical Spline Approximation. In P. R. Turner, editor, Lecture Notes in Mathematics 965: Topics on Numerical Analysis, pages 79-112. Springer, Berlin. 1982.
6. P. Dierckx. Curve and Surface Fitting with Splines. Clarendon Press, Oxford, 1993.
7. L. Davis, editor. Handbook of Genetic Algorithms, van Nostrand Reinhold, New York, 1991