Correlation and prediction of saline solution properties for their use in mineral processing using artificial neural networks

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Journal of Water Reuse and Desalination

• Publication date

  2015-12-01

• Fields of study

  Materials Science, Chemistry, Engineering, Environmental Science

• Identifiers
  DOI 10.2166/WRD.2015.132
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Physicochemical, transport and thermodynamic properties of saline solutions for process design using Padé approximants

  2016cited by this paper
• Artificial Neural Networks and the Melting Temperature of Ionic Liquids

  2014cited by this paper
• Myths and Realities about Existing Methods for Calculating the Melting Temperatures of Ionic Liquids

  2014cited by this paper
• Water Consumption at Copper Mines in Arizona

  2010cited by this paper
• Thermophysical properties of seawater: a review of existing correlations and data

  2010cited by this paper
• Thermodynamic properties of standard seawater: extensions to high temperatures and pressures

  2009cited by this paper
• Correct Way of Reporting Results when Modelling Supercritical Phase Equilibria using Equations of State

  2008cited by this paper
• Prediction of physicochemical properties based on neural network modelling.

  2003cited by this paper
• Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research.

  2000cited by this paper
• Data modelling with neural networks: Advantages and limitations

  1997cited by this paper
• Shortcomings in physical property correlations - an industrial view

  1983cited by this paper
• The practical salinity scale 1978: conversion of existing data

  1981cited by this paper
• The Properties of Gases and Liquids

  1977cited by this paper

• Novel analytical neural network modeling based on the corresponding state principle for determining the speed of sound in hydrocarbons

  2026cites this paper
• Application of vacuum membrane distillation process for lithium recovery in spent lithium ion batteries (LIBs) recycling process

  2023cites this paper
• Tuning the heat-salt-water balance for rapid and scalable solar desalination

  2023cites this paper
• Hierarchically structured evaporator with integrated water supply and evaporation layers to retard salt accumulation

  2022cites this paper
• A Comprehensive Review of Saline Water Correlations and Data: Part II—Thermophysical Properties

  2020cites this paper
• A Comprehensive Review of Saline Water Correlations and Data-Part I: Thermodynamic Properties

  2020cites this paper
• The use of seawater in mining

  2018cites this paper
• Glass transition temperature of ionic liquids using molecular descriptors and artificial neural networks

  2017cites this paper
• Artificial intelligence for predicting solar still production and comparison with stepwise regression under arid climate

  2017cites this paper
• Correlation and Prediction of the Solubility of Air Gases in Saline Solutions for Mining Processes, Using Artificial Neural Networks

  2017cites this paper
• Sea water vapor pressure based on the Cisternas–Lam model

  2016cites this paper