Insights into the estimation of heavy metals ions sorption from aqueous environment onto natural zeolite

Keyphrases

• Artificial Neural Network 100%
• Natural Zeolite 100%
• Adaptive Neuro-fuzzy Inference System 100%
• Heavy Metal Ions 100%
• Aqueous Environment 100%
• Particle Swarm Optimization 100%
• Genetic Programming 100%
• Least Squares Support Vector Machine 100%
• Adsorption Isotherm 100%
• Heavy Metal Ions Adsorption 100%
• Computational Techniques 50%
• Wastewater Treatment 50%
• Pollutants 50%
• Zeolite 50%
• Solution Concentration 50%
• Sensitivity Analysis 50%
• Ion Exchange 50%
• Ni2+ 50%
• Zn2+ 50%
• Pb2+ 50%
• Aqueous Phase 50%
• Ionization Energy 50%
• Si Concentration 50%
• Polynomial Degree 50%
• Ionic Species 50%
• Cd2+ 50%
• Electronegativity 50%
• Environmental Pollution Control 50%
• Multivariate Linear Regression 50%
• Soft Computing Techniques 50%
• Smart Technique 50%
• Sorption Performance 50%
• Sorption System 50%
• Equilibrium pH 50%
• Acidic Functional Groups 50%
• Hydrated Ionic Radius 50%
• Heavy Metal Sorption 50%

Chemical Engineering

• Heavy Metal 100%
• Metal Ion Sorption 100%
• Adsorption Isotherm 50%
• Fuzzy System 50%
• Neural Network 50%
• Support Vector Machine 50%
• Wastewater Treatment 25%
• Ion Exchange 25%
• Functional Group 25%