A robust predictive model for base shear of steel frame structures using a hybrid genetic programming and simulated annealing method

Applications of artificial intelligence and data mining techniques in soil modeling

(2013) A.A. Javadi et al.   Geomechanics and Engineering

A hybrid computational approach to derive new ground-motion prediction equations

(2011) Amir Hossein Gandomi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

HYBRID SIMULATED ANNEALING AND GENETIC ALGORITHMS FOR INDUSTRIAL PRODUCTION MANAGEMENT PROBLEMS

(2010) PANDIAN VASANT   International Journal of Computational Methods

Melt index prediction by RBF neural network optimized with an MPSO-SA hybrid algorithm

(2010) Jiubao Li et al.   NEUROCOMPUTING

New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming

(2009) Amir Hossein Gandomi et al.   MATERIALS AND STRUCTURES

Neural network modeling of time-dependent creep deformations in masonry structures

(2009) Ahmed El-Shafie et al.   NEURAL COMPUTING & APPLICATIONS

Neural network-based simulation for response identification of two-storey shear building subject to earthquake motion

(2009) Snehashish Chakraverty et al.   NEURAL COMPUTING & APPLICATIONS

A new approach to determine the base shear of steel frame structures

(2008) Naci Caglar et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

A genetic programming framework for content-based image retrieval

(2008) Ricardo da S. Torres et al.   PATTERN RECOGNITION

On Some Aspects of Variable Selection for Partial Least Squares Regression Models

(2007) Partha Pratim Roy et al.   Quantitative structure-activity relationships & combinatorial science