Research Article
Solving Classification and Curve Fitting Problems Using Grammatical Evolution
407 downloads
@INPROCEEDINGS{10.1007/978-3-642-32573-1_5, author={Passent El-Kafrawy}, title={Solving Classification and Curve Fitting Problems Using Grammatical Evolution}, proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers}, proceedings_a={SPIT \& IPC}, year={2012}, month={10}, keywords={Classification Curve fitting Grammatical Evolution Computational methods Least Squares error Backus-Naur Form}, doi={10.1007/978-3-642-32573-1_5} }
- Passent El-Kafrawy
Year: 2012
Solving Classification and Curve Fitting Problems Using Grammatical Evolution
SPIT & IPC
Springer
DOI: 10.1007/978-3-642-32573-1_5
Abstract
Grammatical Evolution is related to the idea of genetic programming in that the objective is to find an executable program or function. GE offers a solution by evolving solutions according to a user specified grammar (Backus-Naur Form). In this paper GE is used to construct a classifier for some well known datasets. and curve fitting problems without the need to assume the equation shape.
Copyright © 2011–2024 ICST