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Adaptive neuro-fuzzy inference system (ANFIS) approach for the irreversibility analysis of a domestic refrigerator system using LPG/TiO 2 nanolubricant
Gill, Jatinder; Ohunakin, Olayinka S.; Adelekan, Damola S. - In: Energy Reports 6 (2020), pp. 1405-1417
This work presents an adaptive neuro-fuzzy inference system (ANFIS) artificial intelligence methodology of predicting … purpose, substractive clustering and grid partition approaches were utilized to train the ANFIS models required in estimating … the 2nd law efficiency and total irreversibility using some experimental data. Furthermore, predictions of ANFIS models …
Persistent link: https://www.econbiz.de/10012652492
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Energy ratio of produced biodiesel in hydrodynamic cavitation reactor equipped with LabVIEW controller and artificial intelligence
Naderloo, Leila - In: Energy Reports 6 (2020), pp. 1456-1467
(ANFIS), artificial neural network (ANN) and response surface methodology (RSM) methods were employed. The average energy … ratio was obtained 1.205, and the R2 of the best ANFIS, ANN and RSM models were 0.989, 0.966, and 0.990, respectively, and … MSE was calculated at 0.0005, 0.0015 and 0.00003. The results revealed that the RSM and ANFIS models were preferred to the …
Persistent link: https://www.econbiz.de/10012652498
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Computational intelligence for gas imports forecasting
Atsalakis, George; Ioannou, Sofia Evangelia; … - In: International journal of financial engineering and risk … 2 (2015) 1, pp. 17-29
Persistent link: https://www.econbiz.de/10011344371
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Applications of adaptive neuro-fuzzy inference system and artificial neural network in inventory level forecasting
Paul, Sanjoy Kumar; Azeem, Abdullahil; Ghosh, Abhishek Kumar - In: International journal of business information systems : … 18 (2015) 3, pp. 268-284
Persistent link: https://www.econbiz.de/10011326590
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Analyzing massive data sets : an adaptive fuzzy neural approach for prediction, with a real estate illustration
Guan, Jian; Shi, Donghui; Zurada, Jozef M.; Levitan, Alan S. - In: Journal of organizational computing and electronic commerce 24 (2014) 1, pp. 94-112
Persistent link: https://www.econbiz.de/10010344789
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An intelligent algorithm for optimum forecasting of manufacturing lead times in fuzzy and crisp environments
Azadeh, Mohammad Ali; Ziaeifar, Amin; Pichka, Khosro; … - In: International journal of logistics systems and management 16 (2013) 2, pp. 186-210
Persistent link: https://www.econbiz.de/10010222775
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Performance measurement of various AI techniques for energy estimation and its optimisation using sensitivity analysis
Swami, Yashish; Singh, Navjo; Soni, Umang - In: International journal of intelligent enterprise 9 (2022) 2, pp. 181-194
Persistent link: https://www.econbiz.de/10013256151
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Cloud spot price prediction approach using adaptive neural fuzzy inference system with chaos theory
Amekraz, Zohra; Hadi, Moulay Youssef - In: International journal of networking and virtual … 26 (2022) 1/2, pp. 23-46
Persistent link: https://www.econbiz.de/10013256817
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Energy ratio of produced biodiesel in hydrodynamic cavitation reactor equipped with LabVIEW controller and artificial intelligence
Naderloo, Leila - In: Energy reports 6 (2020), pp. 1456-1467
(ANFIS), artificial neural network (ANN) and response surface methodology (RSM) methods were employed. The average energy … ratio was obtained 1.205, and the R2 of the best ANFIS, ANN and RSM models were 0.989, 0.966, and 0.990, respectively, and … MSE was calculated at 0.0005, 0.0015 and 0.00003. The results revealed that the RSM and ANFIS models were preferred to the …
Persistent link: https://www.econbiz.de/10012266041
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Adaptive neuro-fuzzy inference system approach for urban sustainability assessment : a China case study
Tan, Yongtao; Shuai, Chenyang; Jiao, Liudan; Shen, Liyin - In: Sustainable development 26 (2018) 6, pp. 749-764
Persistent link: https://www.econbiz.de/10011973658