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A review on machine learning models in injection molding machines
One of the most suitable methods for the mass production of complicated shapes is injection
molding due to its superior production rate and quality. The key to producing higher quality …
molding due to its superior production rate and quality. The key to producing higher quality …
Computational fluid dynamics (CFD), artificial neural network (ANN) and genetic algorithm (GA) as a hybrid method for the analysis and optimization of micro …
In this work the hybrid CFD-ANN-GA method is proposed as a tool for the analysis and
optimization of micro-photocatalytic reactors, taking NOx abatement as a case study. Initially …
optimization of micro-photocatalytic reactors, taking NOx abatement as a case study. Initially …
Development of NOx reduction system utilizing artificial neural network (ANN) and genetic algorithm (GA)
Abstracts A submerged combustion vaporizer (SCV) is normally used at a liquefied natural
gas (LNG) terminal to vaporize LNG and supply natural gas to domestic and industrial …
gas (LNG) terminal to vaporize LNG and supply natural gas to domestic and industrial …
[HTML][HTML] Comparative investigation of RSM and ANN for multi-response modeling and optimization studies of derived chitosan from Archachatina marginata shell
The design of this paper was to investigate comparatively the optimization techniques of
response surface methodology (RSM) and artificial neural network (ANN) when applied to …
response surface methodology (RSM) and artificial neural network (ANN) when applied to …
ANN–GA approach for predictive modeling and optimization of NOx emission in a tangentially fired boiler
An artificial neural network (ANN) and genetic algorithm (GA) approach to predict NOx
emission of a 210 MW capacity pulverized coal-fired boiler and combustion parameter …
emission of a 210 MW capacity pulverized coal-fired boiler and combustion parameter …
Using improved grey forecasting models to forecast the output of opto-electronics industry
LC Hsu - Expert Systems with Applications, 2011 - Elsevier
Numerous forecasting models have been developed. Each has its own conditions of
application. However, it has always been an important research objective to improve …
application. However, it has always been an important research objective to improve …
Artificial neural network modelling for removal of chromium (VI) from wastewater using physisorption onto powdered activated carbon
A three-layered feed-forward artificial neural network (ANN) model has been designed to
predict the adsorption efficiency and adsorption capacity for the adsorptive removal of …
predict the adsorption efficiency and adsorption capacity for the adsorptive removal of …
Genetic algorithm driven ANN model for runoff estimation
Precipitation is the only data available in most of the Indian catchments for any hydrological
study. For estimation of runoff at the outlet of the study catchment from India, daily …
study. For estimation of runoff at the outlet of the study catchment from India, daily …
Modelling and Prediction of Thrust Force and Torque in Drilling Operations of Al7075 Using ANN and RSM Methodologies.
Many developed approaches for the improvement of sustainability during machining
operations; one of which is the optimized utilization of cutting tools. Increasing the efficient …
operations; one of which is the optimized utilization of cutting tools. Increasing the efficient …
Using artificial neural networks to forecast operation times in metal industry
This study was conducted in an auto spare parts production plant where the biggest
bottleneck in managing the enterprise is the lack of fulfilling the requisitions of the customers …
bottleneck in managing the enterprise is the lack of fulfilling the requisitions of the customers …