Evaluating the effect of tire parameters on required drawbar pull energy model using adaptive neuro-fuzzy inference system
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DOI: 10.1016/j.energy.2015.03.072
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References listed on IDEAS
- Taghavifar, Hamid & Mardani, Aref & Karim-Maslak, Haleh, 2014. "Multi-criteria optimization model to investigate the energy waste of off-road vehicles utilizing soil bin facility," Energy, Elsevier, vol. 73(C), pages 762-770.
- Taghavifar, Hamid & Mardani, Aref, 2014. "A comparative trend in forecasting ability of artificial neural networks and regressive support vector machine methodologies for energy dissipation modeling of off-road vehicles," Energy, Elsevier, vol. 66(C), pages 569-576.
- Taghavifar, Hamid & Mardani, Aref, 2014. "Applying a supervised ANN (artificial neural network) approach to the prognostication of driven wheel energy efficiency indices," Energy, Elsevier, vol. 68(C), pages 651-657.
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- Taghavifar, Hamid & Mardani, Aref & Hosseinloo, Ashkan Haji, 2015. "Appraisal of artificial neural network-genetic algorithm based model for prediction of the power provided by the agricultural tractors," Energy, Elsevier, vol. 93(P2), pages 1704-1710.
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- Kun-Jung Kim & Kee-Ho Yu, 2020. "Multidisciplinary Design Optimization for a Solar-Powered Exploration Rover Considering the Restricted Power Requirement," Energies, MDPI, vol. 13(24), pages 1-28, December.
- Janulevičius, Algirdas & Damanauskas, Vidas, 2015. "How to select air pressures in the tires of MFWD (mechanical front-wheel drive) tractor to minimize fuel consumption for the case of reasonable wheel slip," Energy, Elsevier, vol. 90(P1), pages 691-700.
- Chetan Badgujar & Sanjoy Das & Dania Martinez Figueroa & Daniel Flippo, 2023. "Application of Computational Intelligence Methods in Agricultural Soil–Machine Interaction: A Review," Agriculture, MDPI, vol. 13(2), pages 1-39, January.
- Moinfar, AbdolMajid & Shahgholi, Gholamhossein & Gilandeh, Yousef Abbaspour & Gundoshmian, Tarahom Mesri, 2020. "The effect of the tractor driving system on its performance and fuel consumption," Energy, Elsevier, vol. 202(C).
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Keywords
Artificial intelligence; ANFIS; Energy; Drawbar pull; Soil bin;All these keywords.
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