Genetic Programming-Based Approach for System Identification Applying Genetic Programming to obtain Separation
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gp-bibliography.bib Revision:1.7954
- @InProceedings{WSEAS_640_Aguilar,
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author = "Jose Aguilar and Mariela Cerrada",
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title = "Genetic Programming-Based Approach for System
Identification Applying Genetic Programming to obtain
Separation",
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address = "Puerto De La Cruz, Tenerife, Spain",
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year = "2001",
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booktitle = "WSES International Conferences WSEAS NNA-FSFS-EC
2001",
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editor = "Nikos E. Mastorakis",
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pages = "6401--6406",
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month = feb # " 11-15",
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organisation = "The World Scientific and Engineering Academy and
Society (WSEAS)",
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keywords = "genetic algorithms, genetic programming, Genetic
Programming, Evolutionary Computation, Identification
Systems",
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URL = "http://www.wseas.us/e-library/conferences/tenerife2001/papers/640.pdf",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.611.1267",
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size = "6 pages",
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abstract = "In this work, an approach based on Genetic Programming
is proposed for the input-output systems identification
problem. Laguerre's functions and the ARX method have
been commonly used to solve the systems identification
problem. Recently, approaches based on Artificial
Neural Networks have been used to solve this problem.
Genetic Programming is an Evolutionary Computation
technique based on the evolution of mathematical
symbols (constants, functions, variables, operators,
etc.). To achieve the identification, a set of analysis
trees is used to describe the different models
(individuals) that our approach proposes during its
execution. At the end of the evolutionary process, an
input-output model of the system is proposed by our
approach (it is the best individual).",
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notes = "paper ID number 640
http://www.wseas.us/e-library/conferences/tenerife2001/index.htm
",
- }
Genetic Programming entries for
Jose Lisandro Aguilar Castro
Mariela Cerrada
Citations