- author = "Yao Leehter and Lin Chin-Chin",
- title = "Genetic Programming Based Multichannel Identification of Nonlinear Systems by Volterra Filters",
- booktitle = "Proceedings of the 2006 IEEE Congress on Evolutionary Computation",
- year = "2006",
- editor = "Gary G. Yen and Simon M. Lucas and Gary Fogel and Graham Kendall and Ralf Salomon and Byoung-Tak Zhang and Carlos A. Coello Coello and Thomas Philip Runarsson",
- pages = "2864--2871",
- address = "Vancouver, BC, Canada",
- month = "16-21 " # jul,
- publisher = "IEEE Press",
- ISBN = "0-7803-9487-9",
-
URL = "
http://ieeexplore.ieee.org/servlet/opac?punumber=11108",
-
DOI = "
doi:10.1109/CEC.2006.1688669",
- keywords = "genetic algorithms, genetic programming",
- abstract = "Genetic Programming (GP) is used to search the optimal structure of Volterra filter in this paper. The Volterra filter with high order and large memories contains great amount of cross product terms. In stead of applying GP to search all cross products, GP is used to search a smaller set of primary signals which evolve to the whole set of cross products. With GP's optimisation capability, the important primary signals and the associated cross products of input signals attributing most to the outputs will be chosen while the primary signals and their associated cross products of input signals which are trivial to the outputs will be excluded from the possible candidate primary signals.",
-
notes = "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
the IEE.
IEEE Catalog Number: 06TH8846D",
