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Pereira, Viren
- Determining Students Performance Using the Tool of Artificial Neural Network
Authors
1 Department of General Engineering (Mechanical), Shree Rayeshwar Institute of Engineering and Information Technology, Goa, IN
2 Shree Rayeshwar Institute of Technology, Goa, IN
Source
International Journal of Innovative Research and Development, Vol 5, No 2Sp (2016), Pagination: 314-318Abstract
Technical Education has grown rapidly over a few decades and is one of the key drivers in the knowledge driven economy. The systematic growth of quality in technical education plays a vital role in development. In any academic organization, early prediction of student’s performance is very important to management so that strategic intervention can be pre-planned before they could appear for the semester examination. Artificial Neural Network (ANN) is a superior mathematical tool used to identify trends in data by developing relationships between various inputs and outputs. Feed Forward Back Propagation Network (BPN) is powerful technique of ANN as it can simulate any continuous or non-linear function. The proposed model allows prediction using a Feed Forward Neural Network (FFNN). The trained model helps to accurately predict at-risk students and reduces the student dropout rate. The output of this study showed that first semester percentage is strongly influenced by fundamental subjects. Comparison between predicted and actual output indicated that the ANN model holds promise for estimation of student’s performance.
Keywords
Artificial Neural Network, Prediction, Multilayer, Back-Propagation Network, Students Performance, Weights.Full Text
- Classification of Wind Power Plants (WPP)
Authors
1 Department of General Engineering, Shree Rayeshwar Institute of Engineering & Information Technology, Shiroda, Goa, IN
Source
International Journal of Innovative Research and Development, Vol 5, No 2Sp (2016), Pagination: 369-375Abstract
In time wind Power Plants (WPP) which are an alternative source of energy have developed into a largely fast growing energy sector due to production of power at comparatively low costs with modern day technology & configurations. The main goal behind this paper is to make aware the various configurations of wind power plant, & draw a comparison with them. This will help us determine, differentiate, & associate the various pros & cons before a certain type of wind power plant is setup. Thereby determining the type of wind power plant suited for a particular geographical location. This study will be based on the classification & differentiation of various types of wind power plants on various criteria's.
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