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RISNumerical modeling of concrete strength under multiaxial confinement pressures using linear genetic programming
New numerical models are developed to predict the strength of concrete under multiaxial compression using linear genetic programming (LGP). The models are established based on a comprehensive database obtained from the literature. To verify...
Modeling of Arsenic, Chromium and Cadmium Removal by Nanofiltration Process Using Genetic Programming
In this paper, genetic programming (GP) as a novel approach for the explicit formulation of nanofiltration (NF) process performance is presented. The objective of this study is to develop robust models based on experimental data for prediction...
Application of Genetic Programming as a Powerful Tool for Modeling of Cellulose Acetate Membrane Preparation
In the present study, genetic programming (GP) as a completely different approach in comparison with
conventional methods, based on the imitation of natural evolution of living organism is proposed for the prediction of cellulose acetate (CA...
Research on steady and transient characteristics of 4-axle vehicle handling
WiP abstract: BraceForce: Software engineering support for sensing in CPS applications
LVQ and HOG based speed limit traffic signs detection and categorization
WiP abstract: System-level integration of mobile multi-modal multi-sensor systems
Relationship of Tensile Strength of Steel fiber reinforced Concrete Based on Genetic Programming
according to these methods, we need to estimate the basic structure of relations. Genetic programming (GP) method has solved this problem. In this study, the results of 367 laboratory specimens collected from the literature are used to present some relations...