Comparative Analysis of Artificial Neural Networks
Abstract
The Indian stock market is now quite promising, and every trader wants to take advantage of it. As a result, forecasting the value of the Nifty 50 on the stock market is critical. The Nifty 50 is classified as a futures and options (F&O) contract in the market. Machine learning technologies are used to improve prediction. We presented four machine learning-based neural network models in this study (feedforward neural network, generalised regression neural network, radial basis neural network, and accurate radial basis neural network). The study presented four models for predicting the accuracy of the Nifty 50 value by comparing it to a minimal error rate. The data set samples span the last nine years, from January 2013 to January 2017.
References
Whig, Pawan, and Syed Naseem Ahmad. "DVCC based Readout Circuitry for Water Quality Monitoring System." International Journal of Computer Applications 49.22 (2012): 1-7.
Whig, Pawan, and Syed Naseem Ahmad. "A CMOS integrated CC-ISFET device for water quality monitoring." International Journal of Computer Science Issues 9.4 (2012): 1694-0814.
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