Selection and Configuration of Sorption Isotherm Models in Soils Using Artificial Bees Guided by the Particle Swarm

Advances in Artificial Intelligence
doi 10.1155/2017/3497652
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Hindawi Limited

Related search

Finding Optimal Configuration of DSDV Using Particle Swarm Optimization

International Journal of Computer Applications
2014English

The New Multipoint Relays Selection in OLSR Using Particle Swarm Optimization

Telkomnika
Electronic EngineeringElectrical
2012English

Multi Objective Particle Swarm Optimization Using Enhanced Dominance and Guide Selection

International Journal of Computational Intelligence Research
2008English

Variable Selection for Wind Power Prediction Using Particle Swarm Optimization

2007English

Initial Phases of DNA Rehydration by NMR and Sorption Isotherm

Acta Physica Polonica A
AstronomyPhysics
2010English

Intelligent Facial Expression Recognition Using Particle Swarm Optimization Based Feature Selection

2018English

Predicting the Collapsibility Potential of Unsaturated Soils Using Adaptive Neural Fuzzy Inference System and Particle Swarm Optimization

Scientia Iranica
2018English

Moisture Sorption Isotherm of Durum Wheat Flour

Food Science and Technology Research
IndustrialMarketingFood ScienceManufacturing EngineeringChemical EngineeringBiotechnology
2012English

Comparative Study of Particle Swarm Optimization and Artificial Bee Colony Algorithms

2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy