Search results: Sage Journals

Restricted accessResearch articleFirst published November, 1995

A Self-Organizing Neural Network Approach to Data-Based Modelling of Fluid Power Systems Dynamics Using the GMDH Algorithm

Y Xue, J Watton

Proceedings of the Institution of Mechanical Engineers,Part I: Journal of Systems and Control Engineering

Restricted accessResearch articleFirst published October 23, 2015

A new modeling algorithm based on ANFIS and GMDH

Yechen Qin, Reza Langari, Liang Gu

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Restricted accessResearch articleFirst published May, 2007

GMDH-type neural network algorithm with a feedback loop for structural identification of RBF neural network

Tadashi Kondo, Abhijit S. Pandya, Hirofumi Nagashino

International Journal of Knowledge-Based and Intelligent Engineering Systems

Free accessResearch articleFirst published June, 2003

Hybrid genetic design of GMDH-type neural networks using singular value decomposition for modelling and prediction of the explosive cutting process

N Nariman-Zadeh, A Darvizeh, G R Ahmad-Zadeh

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

Restricted accessResearch articleFirst published April, 2021

Optimization of the geometrical parameters for elevated temperature hydro-mechanical deep drawing process of 2024 aluminum alloy

S Yaghoubi, F Fereshteh-Saniee

Proceedings of the Institution of Mechanical Engineers,Part E: Journal of Process Mechanical Engineering

Free accessResearch articleFirst published July, 2008

Modelling and predicting surface roughness in turning operations using hybrid differential evolution and the group method of data handling networks

G C Onwubolu

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

Restricted accessResearch articleFirst published August, 2016

Robust GMDH-type neural network with unscented Kalman filter for non-linear systems

M. Masoumnezhad, A. Jamali, N. Nariman-zadeh

Transactions of the Institute of Measurement and Control

Restricted accessResearch articleFirst published February, 2021

Design of a virtual test cell based on GMDH-type neural network for a heavy-duty diesel engine

Ali Ghanaati, Jonas Sjöblom, Ethan Faghani

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

Restricted accessResearch articleFirst published April, 2010

Multi-objective evolutionary optimization of polynomial neural networks for fatigue life modelling and prediction of unidirectional carbon-fibre-reinforced plastics composites

K Salmalian, N Nariman-Zadeh

Proceedings of the Institution of Mechanical Engineers,Part L: Journal of Materials: Design and Applications

Restricted accessResearch articleFirst published June 11, 2019

Artificial neural networks approaches for predicting the potential for hydropower generation: a case study for Amazon region

Márcio Nirlando Gomes Lopes, Brígida Ramati Pereira da Rocha, Alen Costa Vieira [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Restricted accessResearch articleFirst published November, 1995

A Self-Organizing Neural Network Approach to Data-Based Modelling of Fluid Power Systems Dynamics Using the GMDH Algorithm

Y Xue, J Watton

Proceedings of the Institution of Mechanical Engineers,Part I: Journal of Systems and Control Engineering

Restricted accessResearch articleFirst published October 23, 2015

A new modeling algorithm based on ANFIS and GMDH

Yechen Qin, Reza Langari, Liang Gu

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Restricted accessResearch articleFirst published May, 2007

GMDH-type neural network algorithm with a feedback loop for structural identification of RBF neural network

Tadashi Kondo, Abhijit S. Pandya, Hirofumi Nagashino

International Journal of Knowledge-Based and Intelligent Engineering Systems

Free accessResearch articleFirst published June, 2003

Hybrid genetic design of GMDH-type neural networks using singular value decomposition for modelling and prediction of the explosive cutting process

N Nariman-Zadeh, A Darvizeh, G R Ahmad-Zadeh

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

Restricted accessResearch articleFirst published April, 2021

Optimization of the geometrical parameters for elevated temperature hydro-mechanical deep drawing process of 2024 aluminum alloy

S Yaghoubi, F Fereshteh-Saniee

Proceedings of the Institution of Mechanical Engineers,Part E: Journal of Process Mechanical Engineering

Free accessResearch articleFirst published July, 2008

Modelling and predicting surface roughness in turning operations using hybrid differential evolution and the group method of data handling networks

G C Onwubolu

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

Restricted accessResearch articleFirst published August, 2016

Robust GMDH-type neural network with unscented Kalman filter for non-linear systems

M. Masoumnezhad, A. Jamali, N. Nariman-zadeh

Transactions of the Institute of Measurement and Control

Restricted accessResearch articleFirst published February, 2021

Design of a virtual test cell based on GMDH-type neural network for a heavy-duty diesel engine

Ali Ghanaati, Jonas Sjöblom, Ethan Faghani

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

Restricted accessResearch articleFirst published April, 2010

Multi-objective evolutionary optimization of polynomial neural networks for fatigue life modelling and prediction of unidirectional carbon-fibre-reinforced plastics composites

K Salmalian, N Nariman-Zadeh

Proceedings of the Institution of Mechanical Engineers,Part L: Journal of Materials: Design and Applications

Restricted accessResearch articleFirst published June 11, 2019

Artificial neural networks approaches for predicting the potential for hydropower generation: a case study for Amazon region

Márcio Nirlando Gomes Lopes, Brígida Ramati Pereira da Rocha, Alen Costa Vieira [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology