کل 26875

 Artificial neural network

30شهریور
Investigation of potato peel-based bio-sorbent efficiency in reactive dye removal: Artificial neural network modeling and genetic algorithms optimization

Investigation of potato peel-based bio-sorbent efficiency in reactive dye removal: Artificial neural network modeling and genetic algorithms optimization

Over the last few years, a number of investigations have been conducted to explore the low cost sorbents for the decontamination of toxic materials. Undoubtedly, agricultural waste mass is presently one of the most challenging topics, which has been gaining attention during the past several decades. Wastes are very cheap and easily available material in production of sorbent.

21اردیبهشت
Application of Artificial Intelligent Approaches for the Efficiency and Energy Consumption of a Novel Sonocatalyst

Application of Artificial Intelligent Approaches for the Efficiency and Energy Consumption of a Novel Sonocatalyst

The sonocatalytic activity of nano-sized ZnO powder was studied via the degradation of the Direct Blue 71 azo dye. The nano-sized ZnO powder that was selected was the same as that which was synthesized and characterized in our previous study.

20اردیبهشت
Experimental investigation, modeling, and optimization of combined electro-(Fenton/coagulation/flotation) process

Experimental investigation, modeling, and optimization of combined electro-(Fenton/coagulation/flotation) process

In this study, a combined electro-(Fenton/coagulation/flotation) (EF/EC/El) process was studied via degradation of Disperse Orange 25 (DO25) organic dye as a case study.

15آبان
A Neural Network Classifier Model for Forecasting Safety Behavior at Workplaces

A Neural Network Classifier Model for Forecasting Safety Behavior at Workplaces

The construction industry is notorious for having an unacceptable rate of fatal accidents. Unsafe behavior has been recognized as the main cause of most accidents occurring at workplaces, particularly construction sites. Having a predictive model of safety behavior can be helpful in preventing construction accidents. The aim of the present study was to build a predictive model of unsafe behavior using the Artificial Neural Network approach.