TWO-LEVEL SYSTEM FOR TUNING PARAMETERS OF ARTIFICIAL NEURAL NETWORKS

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...

Prediction of Gas Lift Parameters Using Artificial Neural Networks

Tuning Differential Evolution For Artificial Neural Networks

The efficacy of an optimization method often depends on the choosing of a number of behavioural parameters. Research within this area has been focused on devising schemes for adapting the behavioural parameters during optimization, so as to alleviate the need for a practitioner to select the parameters manually. But these schemes usually introduce new behavioural parameters that must be tuned. ...

An Evolutionary Approach for Tuning Artificial Neural Network Parameters

The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that motivated the approach purposed in this paper. This approach employs an evolutionary search to perform the simultaneous tuning of initial weights, transfer functions, architectures and learning rules (learning algorithm ...

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...