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International Journal of Systems Science Volume 25, 1994 - Issue 11
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Original Articles

Modelling and prediction using GMDH networks of Adalines with nonlinear preprocessors

D. T. PHAM Intelligent Systems Research Laboratory, Systems Division, School of Engineering, University of Wales College of Cardiff, Cardiff, U.K
&
X. LIU Intelligent Systems Research Laboratory, Systems Division, School of Engineering, University of Wales College of Cardiff, Cardiff, U.K
Pages 1743-1759 | Received 16 Nov 1992, Published online: 26 Apr 2007

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Mohammad Hossein Ahmadi, Hamidreza Jashnani, Kwok-Wing Chau, Ravinder Kumar & Marc A. Rosen. (2023) Carbon dioxide emissions prediction of five Middle Eastern countries using artificial neural networks. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45:3, pages 9513-9525.
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Articles from other publishers (17)

Jean Cardi, Antony Dussel, Clara Letessier, Isa Ebtehaj, Silvio Jose Gumiere & Hossein Bonakdari. (2023) Modeling Hydrodynamic Behavior of the Ottawa River: Harnessing the Power of Numerical Simulation and Machine Learning for Enhanced Predictability. Hydrology 10:9, pages 177.
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Mohammad Valipour, Helaleh Khoshkam, Sayed M. Bateni, Changhyun Jun & Shahab S. Band. (2023) Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the contiguous United States. Agricultural Water Management 283, pages 108311.
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Tan N. Nguyen, Jaehong Lee, Liem Dinh‐Tien & L. Minh Dang. (2022) Deep learned one‐iteration nonlinear solver for solid mechanics. International Journal for Numerical Methods in Engineering 123:8, pages 1841-1860.
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Hooman Harandizadeh & Danial Jahed Armaghani. (2021) Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA. Applied Soft Computing 99, pages 106904.
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Tan N. Nguyen, H. Nguyen-Xuan & Jaehong Lee. (2020) A novel data-driven nonlinear solver for solid mechanics using time series forecasting. Finite Elements in Analysis and Design 171, pages 103377.
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Ali Komeilibirjandi, Amir Hossein Raffiee, Akbar Maleki, Mohammad Alhuyi Nazari & Mostafa Safdari Shadloo. (2019) Thermal conductivity prediction of nanofluids containing CuO nanoparticles by using correlation and artificial neural network. Journal of Thermal Analysis and Calorimetry 139:4, pages 2679-2689.
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Tan N. Nguyen, Seunghye Lee, H. Nguyen-Xuan & Jaehong Lee. (2019) A novel analysis-prediction approach for geometrically nonlinear problems using group method of data handling. Computer Methods in Applied Mechanics and Engineering 354, pages 506-526.
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Márcio Dorn, André L.S. Braga, Carlos H. Llanos & Leandro S. Coelho. (2012) A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides. Expert Systems with Applications 39:15, pages 12268-12279.
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Andre L. S. Braga, Janier Arias-Garcia, Carlos Llanos, Marcio Dorn, Alfredo Foltran & Leandro S. Coelho. (2012) Hardware implementation of GMDH-type artificial neural networks and its use to predict approximate three-dimensional structures of proteins. Hardware implementation of GMDH-type artificial neural networks and its use to predict approximate three-dimensional structures of proteins.
D. T. Pham, M. S. Packianather & A. A. Afify. 2007. Computational Intelligence. Computational Intelligence 67 92 .
P. Isaias, S. Nilsson, A. Stathaki & R.E. King. (2005) Prediction of Wastewater Pre-Precipitation Variables Using Self-Organizing Networks. Prediction of Wastewater Pre-Precipitation Variables Using Self-Organizing Networks.
Xing Liu. (2004) Building Linux based neural network applications. Building Linux based neural network applications.
Dong-Chul Lee & Yeon-Chan Hong. (2003) Development of Power Demand Forecasting Algorithm Using GMDH. Journal of Korean Institute of Intelligent Systems 13:3, pages 360-365.
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N.Y. Nikolaev & H. Iba. (2003) Learning polynomial feedforward neural networks by genetic programming and backpropagation. IEEE Transactions on Neural Networks 14:2, pages 337-350.
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D. T. Pham, S. S. Dimov & P. T. N. Pham. (2002) Research at the MEC. Robotica 20:5, pages 563-568.
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Józef Korbicz. (1997) Neural Networks and their Application in Fault Detection and Diagnosis. IFAC Proceedings Volumes 30:18, pages 367-372.
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Duc Truong Pham & Xing LiuDuc Truong Pham & Xing Liu. 1995. Neural Networks for Identification, Prediction and Control. Neural Networks for Identification, Prediction and Control 1 23 .

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