Prediction of Climatic Parameters from Physicochemical Parameters using Artificial Neural Networks

Prediction of Gas Lift Parameters Using Artificial Neural Networks

Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks

Electrochemical machining (ECM) is a non-traditional machining process used mainly to cut hard or difficult to cut metals, where the application of a more traditional process is not convenient. It offers several special advantages including higher machining rate, better precision and control, and a wider range of materials that can be machined. A suitable selection of machining parameters for t...

Efficient Parameters Selection for CNTFET Modelling Using Artificial Neural Networks

In this article different types of artificial neural networks (ANN) were used for CNTFET (carbon nanotube transistors) simulation. CNTFET is one of the most likely alternatives to silicon transistors due to its excellent electronic properties. In determining the accurate output drain current of CNTFET, time lapsed and accuracy of different simulation methods were compared. The training data for...

Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks

Circular sawing with diamond-impregnated tools has been extensively used in stone processing plants and prediction of rock sawability is important in the cost estimation and the planning of the plants. Rock sawability depends on machine characteristics, type and diameter of diamond saw, depth of cut, rate of sawing and tool wear, and rock properties. Some researchers have investigated the relat...

application of artificial neural networks in prediction of saturated hydraulic conductivity using soil physical parameters

soil hydraulic properties such as saturated and unsaturated hydraulic conductivity play an important role in environmental research. since direct measurement of these soil hydraulic properties is time-consuming and costly, indirect methods such as pedotransfer functions and artificial neural networks (ann) were developed based on readily available parameters. in this study, the use of ann to pr...