The information systems (IS) assessment studies have still used the commonly traditional tools such as questionnaires in evaluating the dependent variables and specially effectiveness of systems. Artificial neural networks have been recently accepted as an effective alternative tool for modeling the complicated systems and widely used for forecasting. A very few is known about the employment of Artificial Neural Network (ANN) in the prediction IS effectiveness. For this reason, this study is considered as one of the fewest studies to investigate the efficiency and capability of using ANN for forecasting the user perceptions towards IS effectiveness where MATLAB is utilized for building and training the neural network model. A dataset of ...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
This work presents an innovative and novel approach for measuring quality of arbitrary software lear...
This study shows that neural networks have been advocated as an alternative to traditional statistic...
Neural Network (NN) is one of the most important branches of AI that has been applied to an increasi...
Prediction of student performance is one of the most important subjects of educational data mining....
In this paper, Artificial Neural Networks (ANN) and Regression Analysis models were considered to de...
Despite increasing applications of artificial neural networks (NNs) to forecasting over the past dec...
Forecasting the values of the indicators, which characterize the effectiveness of performance of org...
Academic education is one of the key areas in the process of modernization of a country. The ability...
Despite increasing applications of artificial neural networks (NNs) to fore- casting over the past d...
In this paper, Artificial Neural Networks (ANN) and Regression Analysis models were considered to de...
Prior studies have generally suggested that Artificial Neural Networks (ANNs) are superior to conven...
Copyright © 2013 Mahmud Mavaahebi, Ken Nagasaka. This is an open access article distributed under th...
Assessing the performance of an educational institute is a prime concern in an educational scenario....
ABSTRACT - Traditional statistical models as tools for summarizing patterns and regularities in obse...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
This work presents an innovative and novel approach for measuring quality of arbitrary software lear...
This study shows that neural networks have been advocated as an alternative to traditional statistic...
Neural Network (NN) is one of the most important branches of AI that has been applied to an increasi...
Prediction of student performance is one of the most important subjects of educational data mining....
In this paper, Artificial Neural Networks (ANN) and Regression Analysis models were considered to de...
Despite increasing applications of artificial neural networks (NNs) to forecasting over the past dec...
Forecasting the values of the indicators, which characterize the effectiveness of performance of org...
Academic education is one of the key areas in the process of modernization of a country. The ability...
Despite increasing applications of artificial neural networks (NNs) to fore- casting over the past d...
In this paper, Artificial Neural Networks (ANN) and Regression Analysis models were considered to de...
Prior studies have generally suggested that Artificial Neural Networks (ANNs) are superior to conven...
Copyright © 2013 Mahmud Mavaahebi, Ken Nagasaka. This is an open access article distributed under th...
Assessing the performance of an educational institute is a prime concern in an educational scenario....
ABSTRACT - Traditional statistical models as tools for summarizing patterns and regularities in obse...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
This work presents an innovative and novel approach for measuring quality of arbitrary software lear...
This study shows that neural networks have been advocated as an alternative to traditional statistic...