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IETE Journal of Research Volume 53, 2007 - Issue 1
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Articles

Identification of a Liquid Saturated Steam Heat Exchanger using Focused Time Lagged Recurrent Neural Network Model

Sanjay V DudulDepartment of Applied ElectronicsFaculty of Engineering and Technology, Sant Gadge Baba Amravati University, Amravati444602, India email: [email protected]View further author information
(FIETE)
Pages 69-82 | Published online: 01 Sep 2014

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R.M. Al-Ajmi, H.Z. Abou-Ziyan & M.A. Mahmoud. (2012) Performance Evaluation of 14 Neural Network Architectures Used for Predicting Heat Transfer Characteristics of Engine Oils. International Journal for Computational Methods in Engineering Science and Mechanics 13:1, pages 60-75.
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Articles from other publishers (11)

Saurav Gupta, Subhransu Padhee & Libor Pekar. (2021) Recursive least squares identification of heat exchanger system using block-structured models. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 236:4, pages 870-879.
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V. Brinda & M. Bhuvaneshwari. (2021) Identifying Malicious Secondary User Presence Within Primary User Range in Cognitive Radio Networks. Wireless Personal Communications 122:3, pages 2687-2699.
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Mohammad-Reza Rahmani & Mohammad Farrokhi. (2017) Nonlinear dynamic system identification using neuro-fractional-order Hammerstein model. Transactions of the Institute of Measurement and Control 40:13, pages 3872-3883.
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Sapna Gupta, Rajeev Gupta & Subhransu Padhee. (2018) Parametric system identification and robust controller design for liquid–liquid heat exchanger system. IET Control Theory & Applications 12:10, pages 1474-1482.
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S.M. Kelo & S.V. Dudul. (2011) Short-term Maharashtra state electrical power load prediction with special emphasis on seasonal changes using a novel focused time lagged recurrent neural network based on time delay neural network model. Expert Systems with Applications 38:3, pages 1554-1564.
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Hao Peng & Xiang Ling. (2009) Neural networks analysis of thermal characteristics on plate-fin heat exchangers with limited experimental data. Applied Thermal Engineering 29:11-12, pages 2251-2256.
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H Z Abou-Ziyan, M A Mahmoud & Abou M A Zaid. (2009) Predicting the thermal behaviour of engine oils using artificial neural networks. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 223:1, pages 115-124.
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S. N. Naikwad & S. V. Dudul. (2009) Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter. Applied Computational Intelligence and Soft Computing 2009, pages 1-7.
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Sanjay L. Badjate & Sanjay V. Dudul. (2009) Novel FTLRNN with Gamma Memory for Short-Term and Long-Term Predictions of Chaotic Time Series. Applied Computational Intelligence and Soft Computing 2009, pages 1-21.
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Sanjay L. Badjate & Sanjay V. Dudul. (2008) Novel FTLRNN Model for Short Term and Long Term Ahead Prediction of Sun Spots Chaotic Time Series. Journal of Artificial Intelligence 2:1, pages 1-16.
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Sanjay M. Kelo & Sanjay V. Dudul. (2008) Development of an Intelligent System for Short-Term Electrical Power Load Forecasting in Maharashtra State. Development of an Intelligent System for Short-Term Electrical Power Load Forecasting in Maharashtra State.

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