Multi-stage genetic programming: A new strategy to nonlinear system modeling-Reference-Cited by-同舟云学术

Multi-stage genetic programming: A new strategy to nonlinear system modeling

Published:2011-12 Issue:23 Volume:181 Page:5227-5239
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Gandomi Amir Hossein,Alavi Amir Hossein

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference48 articles.

1. A robust data mining approach for formulation of geotechnical engineering systems;Alavi;International Journal of Computer Aided Methods in Engineering-Engineering Computations,2011

2. New ground-motion prediction equations using multi expression programming;Alavi;Journal of Earthquake Engineering,2011

3. High-precision modeling of uplift capacity of suction caissons using a hybrid computational method;Alavi;Geomechanics and Engineering,2010

4. Prediction of maximum dry density and optimum moisture content of stabilized soil using RBF neural networks;Alavi;The IES Journal Part A: Civil and Structural Engineering,2009

5. Non-linear projection to latent structures revisited (the neural network PLS algorithm);Baffi;Computers and Chemical Engineering,1999

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