- author = "Jose Aguilar and Mariela Cerrada",
- title = "Genetic Programming-Based Approach for System Identification Applying Genetic Programming to obtain Separation",
- address = "Puerto De La Cruz, Tenerife, Spain",
- year = "2001",
- booktitle = "WSES International Conferences WSEAS NNA-FSFS-EC 2001",
- editor = "Nikos E. Mastorakis",
- pages = "6401--6406",
- month = feb # " 11-15",
- organisation = "The World Scientific and Engineering Academy and Society (WSEAS)",
- keywords = "genetic algorithms, genetic programming, Genetic Programming, Evolutionary Computation, Identification Systems",
-
URL = "
http://www.wseas.us/e-library/conferences/tenerife2001/papers/640.pdf",
-
URL = "
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.611.1267",
- size = "6 pages",
- 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).",
-
notes = "paper ID number 640
http://www.wseas.us/e-library/conferences/tenerife2001/index.htm
",
