Journal articles on the topic 'Fuzzy neural networks Mamdani and Tsukamoto'
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Meng, Lei, Shoulin Yin, and Xinyuan Hu. "An improved Mamdani Fuzzy Neural Networks Based on PSO Algorithm and New Parameter Optimization." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 1 (January 1, 2016): 201. http://dx.doi.org/10.11591/ijeecs.v1.i1.pp201-206.
Full textLucchese, Luísa Vieira, Guilherme Garcia de Oliveira, and Olavo Correa Pedrollo. "Mamdani fuzzy inference systems and artificial neural networks for landslide susceptibility mapping." Natural Hazards 106, no. 3 (February 8, 2021): 2381–405. http://dx.doi.org/10.1007/s11069-021-04547-6.
Full textMohammed, Hind R., and Zahir M. Hussain. "Hybrid Mamdani Fuzzy Rules and Convolutional Neural Networks for Analysis and Identification of Animal Images." Computation 9, no. 3 (March 17, 2021): 35. http://dx.doi.org/10.3390/computation9030035.
Full textAkhter, Tanjima, Md Ariful Islam, and Saiful Islam. "Artificial Neural Network based COVID-19 Suspected Area Identification." Journal of Engineering Advancements 01, no. 04 (December 2020): 188–94. http://dx.doi.org/10.38032/jea.2020.04.010.
Full textTHEODORIDIS, DIMITRIOS, YIANNIS BOUTALIS, and MANOLIS CHRISTODOULOU. "DYNAMICAL RECURRENT NEURO-FUZZY IDENTIFICATION SCHEMES EMPLOYING SWITCHING PARAMETER HOPPING." International Journal of Neural Systems 22, no. 02 (April 2012): 1250004. http://dx.doi.org/10.1142/s0129065712500049.
Full textGrace, Asogbon Mojisola, and Samuel Oluwarotimi Williams. "Comparative Analysis of Neural Network and Fuzzy Logic Techniques in Credit Risk Evaluation." International Journal of Intelligent Information Technologies 12, no. 1 (January 2016): 47–62. http://dx.doi.org/10.4018/ijiit.2016010103.
Full textJacquin, Alexandra P., and Asaad Y. Shamseldin. "Review of the application of fuzzy inference systems in river flow forecasting." Journal of Hydroinformatics 11, no. 3-4 (July 1, 2009): 202–10. http://dx.doi.org/10.2166/hydro.2009.038.
Full textMlakić, Dragan, Srete N. Nikolovski, and Goran Knežević. "An Adaptive Neuro-Fuzzy Inference System in Assessment of Technical Losses in Distribution Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (June 1, 2016): 1294. http://dx.doi.org/10.11591/ijece.v6i3.10147.
Full textMlakić, Dragan, Srete N. Nikolovski, and Goran Knežević. "An Adaptive Neuro-Fuzzy Inference System in Assessment of Technical Losses in Distribution Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (June 1, 2016): 1294. http://dx.doi.org/10.11591/ijece.v6i3.pp1294-1304.
Full textKUMAR, ASHWANI, D. P. AGRAWAL, and S. D. JOSHI. "MULTISCALE NEUROFUZZY MODELS FOR FORECASTING IN TIME SERIES DATABASES." International Journal of Wavelets, Multiresolution and Information Processing 05, no. 06 (November 2007): 859–78. http://dx.doi.org/10.1142/s0219691307002087.
Full textEvgenev, G. B. "Synergetic knowledge bases." Ontology of designing 11, no. 1 (March 30, 2021): 76–88. http://dx.doi.org/10.18287/2223-9537-2021-11-1-76-88.
Full textSiddiqui, Shahan Yamin, Atifa Athar, Muhammad Adnan Khan, Sagheer Abbas, Yousaf Saeed, Muhammad Farrukh Khan, and Muhammad Hussain. "Modelling, Simulation and Optimization of Diagnosis Cardiovascular Disease Using Computational Intelligence Approaches." Journal of Medical Imaging and Health Informatics 10, no. 5 (May 1, 2020): 1005–22. http://dx.doi.org/10.1166/jmihi.2020.2996.
Full textKannamma, R., and K. S. Umadevi. "Neuro-Fuzzy-Based Frame Pre-Emption Using Time-Sensitive Networking for Industrial Ethernet." Journal of Information & Knowledge Management 20, Supp01 (February 2021): 2140008. http://dx.doi.org/10.1142/s0219649221400086.
Full textLi, Weijie. "Consumer Decision-Making Power Based on BP Neural Network and Fuzzy Mathematical Model." Wireless Communications and Mobile Computing 2021 (August 11, 2021): 1–9. http://dx.doi.org/10.1155/2021/6387633.
Full textAlvisi, S., G. Mascellani, M. Franchini, and A. Bárdossy. "Water level forecasting through fuzzy logic and artificial neural network approaches." Hydrology and Earth System Sciences 10, no. 1 (February 8, 2006): 1–17. http://dx.doi.org/10.5194/hess-10-1-2006.
Full textAlvisi, S., G. Mascellani, M. Franchini, and A. Bárdossy. "Water level forecasting through fuzzy logic and artificial neural network approaches." Hydrology and Earth System Sciences Discussions 2, no. 3 (June 22, 2005): 1107–45. http://dx.doi.org/10.5194/hessd-2-1107-2005.
Full textFekri Sari, Mahsa, and Soroush Avakh Darestani. "Fuzzy overall equipment effectiveness and line performance measurement using artificial neural network." Journal of Quality in Maintenance Engineering 25, no. 2 (May 7, 2019): 340–54. http://dx.doi.org/10.1108/jqme-12-2017-0085.
Full textGuzmán, Juan, Ivette Miramontes, Patricia Melin, and German Prado-Arechiga. "Optimal Genetic Design of Type-1 and Interval Type-2 Fuzzy Systems for Blood Pressure Level Classification." Axioms 8, no. 1 (January 15, 2019): 8. http://dx.doi.org/10.3390/axioms8010008.
Full textTerenchuk, S., R. Pasko, O. Panko, and V. Zaprivoda. "MODELS, METHODS, AND MEANS OF REPRODUCTION OF EXPERT KNOWLEDGE IN INTELLIGENT SUPPORT SYSTEM BUILDING-TECHNICAL EXPERTISE." Scientific Journal of Astana IT University, no. 6 (June 30, 2021): 76–87. http://dx.doi.org/10.37943/aitu.2021.43.51.007.
Full textAbbasipayam, Sadjad, and Nataliya Vladislavovna Makrova. "Fuzzy logic and intelligent control of engineering systems of buildings." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2022, no. 1 (January 31, 2022): 22–32. http://dx.doi.org/10.24143/2073-5529-2022-1-22-32.
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