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International Journal of Control Volume 62, 1995 - Issue 1
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Original Articles

Long-range prediction for poorly-known systems

BENEDIKT SCHENKER TCL, Eidgenössische Technische Hochschule, CH-8092 Zurich, Switzerland Phone: +(41) 1 632 3059/3113 Fax: +(41) 1 632 3059/3113 E-mail: [email protected].
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MUKUL AGARWAL TCL, Eidgenössische Technische Hochschule, CH-8092 Zurich, Switzerland Phone: +(41) 1 632 3059/3113 Fax: +(41) 1 632 3059/3113 E-mail: [email protected].
Pages 227-238 | Received 04 Aug 1993, Accepted 16 May 1994, Published online: 24 Feb 2007

Citations (16)

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FI-JOHN CHANG, YEN-MING CHIANG & LI-CHIU CHANG. (2007) Multi-step-ahead neural networks for flood forecasting. Hydrological Sciences Journal 52:1, pages 114-130.
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BENEDICT SCHENKER & MUKUL AGARWAL. (1997) Dynamic modelling using neural networks. International Journal of Systems Science 28:12, pages 1285-1298.
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Articles from other publishers (14)

Oliver NellesOliver Nelles. 2020. Nonlinear System Identification. Nonlinear System Identification 715 830 .
J.-S. Yang, S.-P. Yu & G.-M. Liu. (2013) Multi-step-ahead predictor design for effective long-term forecast of hydrological signals using a novel wavelet neural network hybrid model. Hydrology and Earth System Sciences 17:12, pages 4981-4993.
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Jun Li, Karim Ouazzane, Hassan B. Kazemian & Muhammad Sajid Afzal. (2013) Neural Network Approaches for Noisy Language Modeling. IEEE Transactions on Neural Networks and Learning Systems 24:11, pages 1773-1784.
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Shi-Peng Yu, Jing-Song Yang & Guang-Ming Liu. (2013) A novel discussion on two long-term forecast mechanisms for hydro-meteorological signals using hybrid wavelet-NN model. Journal of Hydrology 497, pages 189-197.
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Zhang Hongliang, Sun Zhiyi & Zhao Zhicheng. (2008) Fuzzy logic control based on neural network nonlinear prediction. Fuzzy logic control based on neural network nonlinear prediction.
Jing-Xin Xie, Chun-Tian Cheng, Bin Yu & Qing-Rui Zhang. 2005. Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 565 570 .
Li‐Chiu Chang, Fi‐John Chang & Yen‐Ming Chiang. (2003) A two‐step‐ahead recurrent neural network for stream‐flow forecasting. Hydrological Processes 18:1, pages 81-92.
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Y. Tipsuwan & M.-Y. Chow. (2001) Analysis of training neural compensation model for system dynamics modeling. Analysis of training neural compensation model for system dynamics modeling.
Benedikt Schenker & Mukul Agarwal. (2000) Online-optimized feed switching in semi-batch reactors using semi-empirical dynamic models. Control Engineering Practice 8:12, pages 1393-1403.
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A.G. Parlos, O.T. Rais & A.F. Atiya. (2000) Multi-step-ahead prediction using dynamic recurrent neural networks. Neural Networks 13:7, pages 765-786.
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Fu Zhigang & Wang Shifu. (2000) Nonlinear neural predictive control with control constraints. Nonlinear neural predictive control with control constraints.
A.G. Parlos, O.T. Rais & A.F. Atiya. (1999) Multi-step-ahead prediction using dynamic recurrent neural networks. Multi-step-ahead prediction using dynamic recurrent neural networks.
B. Schenker & M. Agarwal. (1998) Predictive control of a bench-scale chemical reactor based on neural-network models. IEEE Transactions on Control Systems Technology 6:3, pages 388-400.
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B Schenker & M Agarwal. (2005) Output prediction in systems with backlash. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 212:1, pages 17-26.
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