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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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          <name>Title</name>
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              <text>Computational approach of artificial neural network</text>
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              <text>Artificial Neural Network; Automobile Industry; Pharmaceutical Industry; Prediction; Stock Price</text>
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              <text>This paper makes an attempt to predict the movement of the stock price for the following day using Artificial Neural Network (ANN). For the purpose of this research, two companies from each industry have been chosen that is, TATA Motors and Honda Motors from the Automobile industry and Cadila Pharmaceuticals Ltd. and Glenmark Pharmaceuticals from the Pharmaceutical industry. The historical prices of these companies were collected and by using Artificial Neural Network (ANN), the movement of the stock price for the next day is predicted.  2017 IEEE.</text>
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              <text>Ravichandra T.; Thingom C.</text>
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              <text>IEEE International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2017 - Proceedings, pp. 646-649.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2017-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICIMIA.2017.7975541" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICIMIA.2017.7975541&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISBN: 978-150905960-7</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Ravichandra T., Department of Professional Studies, Christ University, Bangalore, India; Thingom C., Centre for Digital Innovation, Christ University, Bangalore, India</text>
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