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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 … the 2nd law efficiency and total irreversibility of a refrigeration system running on LPG/TiO2-nano-refrigerants. For this … purpose, substractive clustering and grid partition approaches were utilized to train the ANFIS models required in estimating …

Persistent link: https://www.econbiz.de/10012652492

Exploring the nature of credit scoring: a neuro fuzzy approach

Akkoç, Soner - In: Fuzzy economic review : the review of the International … 24 (2019) 1, pp. 3-24

Persistent link: https://www.econbiz.de/10012198819

Forecasting the success of a new tourism service by a neuro-fuzzy technique

Atsalakis, George S.; Atsalaki, Ioanna G.; Zopounidis, … - In: European journal of operational research : EJOR 268 (2018) 2, pp. 716-727

Persistent link: https://www.econbiz.de/10011852790

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

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

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

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

Prediction of European stock indexes using neuro-fuzzy technique

Janková, Zuzana; Dostál, Petr - In: Trends economics and management 14 (2020) 35, pp. 45-57

relatively low error. Findings: The developed ANFIS model is a suitable tool for predicting stock indexes. The importance of the …

Persistent link: https://www.econbiz.de/10012319006

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

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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