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              <text>Predicting and improvising the performance of rocket nozzle throat using machine learning algorithms</text>
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              <text>Machine Learning Algorithms; Rocket Nozzle Throat</text>
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              <text>This paper is a study of one dimensional heat conduction with thermo physical properties like K, row, Cp of a material varying with temperature. The physical problem is characterized by a cylinder of infinite length and thickness L, imposed with a net heat flux at x= 0, with the other end being insulated. The temperatures at the insulate end are measured by placing thermocouples. As the temperatures at the other end are very high, it is not possible to measure temperatures by keeping thermocouples which will burn away. So the problem is initialized with known sensor values near insulated end. By proper predicting values by ARIMA Model, the temperature distribution in Rocket Nozzle throat system (RNT) is calculated. The outcome of the work is processed with Machine Learning algorithm like Genetic algorithm in identifying the optimal location of sensor position which helps in improvising the performance of RNT.  2020, Institute of Advanced Scientific Research, Inc. All rights reserved.</text>
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          <name>Creator</name>
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              <text>Krishna A.V.N.</text>
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              <text>Journal of Advanced Research in Dynamical and Control Systems, Vol-12, No. 4 Special Issue, pp. 16-20.</text>
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              <text>Institute of Advanced Scientific Research, Inc.</text>
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              <text>2020-01-01</text>
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              <text>&lt;a href="https://doi.org/10.5373/JARDCS/V12SP4/20201461" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.5373/JARDCS/V12SP4/20201461&lt;/a&gt;
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              <text>ISSN: 1943023X</text>
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              <text>Krishna A.V.N., CSE, CHRIST (Deemed to BE University), Bengaluru, India</text>
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