Artículos de revistas sobre el tema "NEURO-FUZZY ANFIS"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "NEURO-FUZZY ANFIS".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Yeom, Chan-Uk y Keun-Chang Kwak. "Performance Comparison of ANFIS Models by Input Space Partitioning Methods". Symmetry 10, n.º 12 (3 de diciembre de 2018): 700. http://dx.doi.org/10.3390/sym10120700.
Texto completoYeom, Chan-Uk y Keun-Chang Kwak. "Adaptive Neuro-Fuzzy Inference System Predictor with an Incremental Tree Structure Based on a Context-Based Fuzzy Clustering Approach". Applied Sciences 10, n.º 23 (27 de noviembre de 2020): 8495. http://dx.doi.org/10.3390/app10238495.
Texto completoSadeghi-Niaraki, Abolghasem, Ozgur Kisi y Soo-Mi Choi. "Spatial modeling of long-term air temperatures for sustainability: evolutionary fuzzy approach and neuro-fuzzy methods". PeerJ 8 (14 de agosto de 2020): e8882. http://dx.doi.org/10.7717/peerj.8882.
Texto completoBlahová, Lenka, Ján Dvoran y Jana Kmeťová. "Neuro-fuzzy control design of processes in chemical technologies". Archives of Control Sciences 22, n.º 2 (1 de enero de 2012): 233–50. http://dx.doi.org/10.2478/v10170-011-0022-2.
Texto completoBadvaji, Bhumika, Raunak Jangid y Kapil Parikh. "PERFORMANCE ANALYSIS ON ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) BASED MPPT CONTROLLER FOR DC-DC CONVERTER FOR STANDALONE SOLAR ENERGY GENERATION SYSTEM". International Journal of Technical Research & Science 7, n.º 06 (25 de junio de 2022): 14–20. http://dx.doi.org/10.30780/ijtrs.v07.i06.003.
Texto completoTahour, Ahmed, Hamza Abid y Ghani Aissaoui. "Adaptive neuro-fuzzy controller of switched reluctance motor". Serbian Journal of Electrical Engineering 4, n.º 1 (2007): 23–34. http://dx.doi.org/10.2298/sjee0701023t.
Texto completoSangeetha, J. y P. Renuga. "Recurrent ANFIS-Coordinated Controller Design for Multimachine Power System with FACTS Devices". Journal of Circuits, Systems and Computers 26, n.º 02 (3 de noviembre de 2016): 1750034. http://dx.doi.org/10.1142/s0218126617500347.
Texto completoMindit Eriyadi, S.Pd, M.T. "PERANCANGAN DAN SIMULASI BASIC ENGINE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS)". TEMATIK 2, n.º 2 (30 de diciembre de 2015): 105–13. http://dx.doi.org/10.38204/tematik.v2i2.76.
Texto completoKarthikeyan, R., K. Manickavasagam, Shikha Tripathi y K. V. V. Murthy. "Neuro-Fuzzy-Based Control for Parallel Cascade Control". Chemical Product and Process Modeling 8, n.º 1 (8 de junio de 2013): 15–25. http://dx.doi.org/10.1515/cppm-2013-0002.
Texto completoSabet, Masumeh, Mehdi Naseri y Hosein Sabet. "Prediction of littoral drift with Adaptive Neuro-Fuzzy Inference System". Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation 42, n.º 1 (1 de enero de 2010): 159–67. http://dx.doi.org/10.2478/v10060-008-0074-6.
Texto completoKong, Lingkun, Dewang Chen y Ruijun Cheng. "WRNFS: Width Residual Neuro Fuzzy System, a Fast-Learning Algorithm with High Interpretability". Applied Sciences 12, n.º 12 (8 de junio de 2022): 5810. http://dx.doi.org/10.3390/app12125810.
Texto completoNath, Amitabha, Fisokuhle Mthethwa y Goutam Saha. "Runoff estimation using modified adaptive neuro-fuzzy inference system". Environmental Engineering Research 25, n.º 4 (22 de agosto de 2019): 545–53. http://dx.doi.org/10.4491/eer.2019.166.
Texto completoHarkouss, Youssef. "Accurate modeling and optimization of microwave circuits and devices using adaptive neuro-fuzzy inference system". International Journal of Microwave and Wireless Technologies 3, n.º 6 (1 de julio de 2011): 637–45. http://dx.doi.org/10.1017/s1759078711000651.
Texto completoFAKHRUDDIN, HANIF HASYIER, HANDRI TOAR, ERA PURWANTO, HARY OKTAVIANTO, GAMAR BASUKI, RADEN AKBAR NUR APRIYANTO y ABDILLAH AZIZ MUNTASHIR. "Strategi Implementasi Adaptive Neuro Fuzzy Inference System (ANFIS) pada Kendali Motor Induksi 3 Fase Metode Vektor-Tidak Langsung". ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 9, n.º 4 (10 de octubre de 2021): 786. http://dx.doi.org/10.26760/elkomika.v9i4.786.
Texto completoAbdelazziz, Aouiche, Aouiche El Moundher y Guiza Dhaouadi. "Efficient Neuro-Fuzzy Identification Model for Electrocardiogram Signal". Journal Européen des Systèmes Automatisés 55, n.º 2 (30 de abril de 2022): 237–44. http://dx.doi.org/10.18280/jesa.550211.
Texto completoAbdallah, El, Maamar Laidi y Salah Hanini. "New method based on neuro-fuzzy system and PSO algorithm for estimating phase equilibria properties". Chemical Industry and Chemical Engineering Quarterly, n.º 00 (2021): 24. http://dx.doi.org/10.2298/ciceq201104024a.
Texto completoKhalil, Ahmed S., Sergey V. Starovoytov y Nikolai S. Serpokrylov. "The Adaptive Neuro-Fuzzy Inference System (ANFIS) Application for the Ammonium Removal from Aqueous Solution Predicting by Biochar". Materials Science Forum 931 (septiembre de 2018): 985–90. http://dx.doi.org/10.4028/www.scientific.net/msf.931.985.
Texto completoIntidam, Abdessamad, Hassan El Fadil, Halima Housny, Zakariae El Idrissi, Abdellah Lassioui, Soukaina Nady y Abdeslam Jabal Laafou. "Development and Experimental Implementation of Optimized PI-ANFIS Controller for Speed Control of a Brushless DC Motor in Fuel Cell Electric Vehicles". Energies 16, n.º 11 (29 de mayo de 2023): 4395. http://dx.doi.org/10.3390/en16114395.
Texto completoAlibak, Ali Hosin, Seyed Mehdi Alizadeh, Shaghayegh Davodi Monjezi, As’ad Alizadeh, Falah Alobaid y Babak Aghel. "Developing a Hybrid Neuro-Fuzzy Method to Predict Carbon Dioxide (CO2) Permeability in Mixed Matrix Membranes Containing SAPO-34 Zeolite". Membranes 12, n.º 11 (16 de noviembre de 2022): 1147. http://dx.doi.org/10.3390/membranes12111147.
Texto completoMujiarto, Mujiarto, Asari Djohar, Mumu Komaro, Mohamad Afendee Mohamed, Darmawan Setia Rahayu, W. S. Mada Sanjaya, Mustafa Mamat, Aceng Sambas y Subiyanto Subiyanto. "Colored object detection using 5 dof robot arm based adaptive neuro-fuzzy method". Indonesian Journal of Electrical Engineering and Computer Science 13, n.º 1 (1 de enero de 2019): 293. http://dx.doi.org/10.11591/ijeecs.v13.i1.pp293-299.
Texto completoKumar, Ajit y Ajoy Kanti Ghosh. "ANFIS-Delta method for aerodynamic parameter estimation using flight data". Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, n.º 8 (3 de agosto de 2018): 3016–32. http://dx.doi.org/10.1177/0954410018791621.
Texto completoIkram, Rana Muhammad Adnan, Xinyi Cao, Tayeb Sadeghifar, Alban Kuriqi, Ozgur Kisi y Shamsuddin Shahid. "Improving Significant Wave Height Prediction Using a Neuro-Fuzzy Approach and Marine Predators Algorithm". Journal of Marine Science and Engineering 11, n.º 6 (1 de junio de 2023): 1163. http://dx.doi.org/10.3390/jmse11061163.
Texto completoA-Matarneh, Feras Mohammed, Bassam A. Y. Alqaralleh, Fahad Aldhaban, Esam A. AlQaralleh, Anil Kumar, Deepak Gupta y Gyanendra Prasad Joshi. "Swarm Intelligence with Adaptive Neuro-Fuzzy Inference System-Based Routing Protocol for Clustered Wireless Sensor Networks". Computational Intelligence and Neuroscience 2022 (13 de mayo de 2022): 1–11. http://dx.doi.org/10.1155/2022/7940895.
Texto completoAngga debby frayudha, Aris Yulianto y Fatmawatul Qomariyah. "PENGEMBANGAN SISTEM MANAJEMEN PENDUKUNG KEPUTUSAN PENILAIAN MUTU KEPEGAWAIAN DINAS PENDIDIKAN REMBANG MENGGUNAKAN ALGORITMA ANFIS (ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM)". Explore IT! : Jurnal Keilmuan dan Aplikasi Teknik Informatika 12, n.º 1 (18 de junio de 2020): 6–17. http://dx.doi.org/10.35891/explorit.v12i1.2020.
Texto completoZhang, X. Y. y B. Wei. "A OPTIMIZATION TUNED ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR DAM DEFORMATION PREDICTION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (8 de febrero de 2020): 1207–13. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-1207-2020.
Texto completoNazerian, Morteza, Fateme Naderi, Ali Partovinia, Antonios N. Papadopoulos y Hamed Younesi-Kordkheili. "Developing adaptive neuro-fuzzy inference system-based models to predict the bending strength of polyurethane foam-cored sandwich panels". Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 236, n.º 1 (18 de octubre de 2021): 3–22. http://dx.doi.org/10.1177/14644207211024278.
Texto completoRamesh, K., A. P. Kesarkar, J. Bhate, M. Venkat Ratnam y A. Jayaraman. "Adaptive neuro fuzzy inference system for profiling of the atmosphere". Atmospheric Measurement Techniques Discussions 7, n.º 3 (20 de marzo de 2014): 2715–36. http://dx.doi.org/10.5194/amtd-7-2715-2014.
Texto completoOlayode, Isaac Oyeyemi, Lagouge Kwanda Tartibu y Frimpong Justice Alex. "Comparative Study Analysis of ANFIS and ANFIS-GA Models on Flow of Vehicles at Road Intersections". Applied Sciences 13, n.º 2 (5 de enero de 2023): 744. http://dx.doi.org/10.3390/app13020744.
Texto completoHaviluddin, Haviluddin, Herman Santoso Pakpahan, Novianti Puspitasari, Gubtha Mahendra Putra, Rima Yustika Hasnida y Rayner Alfred. "Adaptive Neuro-Fuzzy Inference System for Waste Prediction". Knowledge Engineering and Data Science 5, n.º 2 (30 de diciembre de 2022): 122. http://dx.doi.org/10.17977/um018v5i22022p122-128.
Texto completoBadrzadeh, Honey, Ranjan Sarukkalige y A. W. Jayawardena. "Intermittent stream flow forecasting and modelling with hybrid wavelet neuro-fuzzy model". Hydrology Research 49, n.º 1 (26 de julio de 2017): 27–40. http://dx.doi.org/10.2166/nh.2017.163.
Texto completoZANCHETTIN, CLEBER, LEANDRO L. MINKU y TERESA B. LUDERMIR. "DESIGN OF EXPERIMENTS IN NEURO-FUZZY SYSTEMS". International Journal of Computational Intelligence and Applications 09, n.º 02 (junio de 2010): 137–52. http://dx.doi.org/10.1142/s1469026810002823.
Texto completoDjelamda, Imene y Ilhem Bochareb. "Field-oriented control based on adaptive neuro-fuzzy inference system for PMSM dedicated to electric vehicle". Bulletin of Electrical Engineering and Informatics 11, n.º 4 (1 de agosto de 2022): 1892–901. http://dx.doi.org/10.11591/eei.v11i4.3818.
Texto completoParhi, D. R. y M. K. Singh. "Navigational path analysis of mobile robots using an adaptive neuro-fuzzy inference system controller in a dynamic environment". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 224, n.º 6 (1 de junio de 2010): 1369–81. http://dx.doi.org/10.1243/09544062jmes1751.
Texto completoTimene, Aristide, Ndjiya Ngasop y Haman Djalo. "Tractor-Implement Tillage Depth Control Using Adaptive Neuro-Fuzzy Inference System (ANFIS)". Proceedings of Engineering and Technology Innovation 19 (25 de mayo de 2021): 53–61. http://dx.doi.org/10.46604/peti.2021.7522.
Texto completoLassoued, Hela, Raouf Ketata y Hajer Ben Mahmoud. "Optimal Neuro Fuzzy Classification for Arrhythmia Data Driven System". International Journal of Innovative Technology and Exploring Engineering 11, n.º 1 (30 de noviembre de 2021): 70–80. http://dx.doi.org/10.35940/ijitee.a9628.1111121.
Texto completoNG, GEOK SEE, SEVKI ERDOGAN, DAMING SHI y ABDUL WAHAB. "INSIGHT OF FUZZY NEURAL SYSTEMS IN THE APPLICATION OF HANDWRITTEN DIGITS CLASSIFICATION". International Journal of Image and Graphics 06, n.º 04 (octubre de 2006): 511–32. http://dx.doi.org/10.1142/s0219467806002410.
Texto completoSahoby, LALAOHARISOA, VELO Jérôme, MANASINA Ruffin, RANDRIANANTENAINA Todihasina Roselin y RATIARISON Adolphe Andriamanga. "Modeling The Results Of A Perceptron And Neuro-Fuzzy Neural Network Simulation (ANFIS)". International Journal of Progressive Sciences and Technologies 38, n.º 1 (30 de abril de 2023): 448. http://dx.doi.org/10.52155/ijpsat.v38.1.5250.
Texto completoPapageorgiou, Konstantinos, Elpiniki I. Papageorgiou, Katarzyna Poczeta, Dionysis Bochtis y George Stamoulis. "Forecasting of Day-Ahead Natural Gas Consumption Demand in Greece Using Adaptive Neuro-Fuzzy Inference System". Energies 13, n.º 9 (7 de mayo de 2020): 2317. http://dx.doi.org/10.3390/en13092317.
Texto completoChairi, Rayjansof, Fitria Hidayanti y Idris Kusuma. "Perancangan Sistem Kendali Cascade pada Deaerator Berbasis Adaptive Neuro Fuzzy Inference System (ANFIS)". Jurnal Ilmiah Giga 20, n.º 1 (20 de marzo de 2019): 22. http://dx.doi.org/10.47313/jig.v20i1.548.
Texto completoAl-Mekhlafi, Mohammed A. A., Herman Wahid y Azian Abd Aziz. "Adaptive Neuro-Fuzzy Control Approach for a Single Inverted Pendulum System". International Journal of Electrical and Computer Engineering (IJECE) 8, n.º 5 (1 de octubre de 2018): 3657. http://dx.doi.org/10.11591/ijece.v8i5.pp3657-3665.
Texto completoAksoy, Asli, Nursel Öztürk y Eric Sucky. "Demand forecasting for apparel manufacturers by using neuro-fuzzy techniques". Journal of Modelling in Management 9, n.º 1 (11 de marzo de 2014): 18–35. http://dx.doi.org/10.1108/jm2-10-2011-0045.
Texto completoChopra, Shivali, Gaurav Dhiman, Ashutosh Sharma, Mohammad Shabaz, Pratyush Shukla y Mohit Arora. "Taxonomy of Adaptive Neuro-Fuzzy Inference System in Modern Engineering Sciences". Computational Intelligence and Neuroscience 2021 (3 de septiembre de 2021): 1–14. http://dx.doi.org/10.1155/2021/6455592.
Texto completoSingh, Sunil Kumar y Raj Shree. "Smart Prediction Method of Software Defect Using Neuro-Fuzzy Approach". Asian Journal of Computer Science and Technology 7, n.º 2 (5 de agosto de 2018): 6–10. http://dx.doi.org/10.51983/ajcst-2018.7.2.1878.
Texto completoDosdoğru, Ayşe Tuğba. "Improving Weather Forecasting Using De-Noising with Maximal Overlap Discrete Wavelet Transform and GA Based Neuro-Fuzzy Controller". International Journal on Artificial Intelligence Tools 28, n.º 03 (mayo de 2019): 1950012. http://dx.doi.org/10.1142/s021821301950012x.
Texto completoKusumah, Raden Muhamad Yuda Pradana, Maman Abdurohman y Aji Gautama Putrada. "Basement Flood Control with Adaptive Neuro Fuzzy Inference System Using Ultrasonic Sensor". International Journal on Information and Communication Technology (IJoICT) 5, n.º 2 (10 de junio de 2020): 11. http://dx.doi.org/10.21108/ijoict.2019.52.482.
Texto completoShahbudin, Shahrani, Murizah Kassim, Roslina Mohamad, Saiful Izwan Suliman y Yuslinda Wati Mohamad Yusof. "Fault disturbances classification analysis using adaptive neuro-fuzzy inferences system". Indonesian Journal of Electrical Engineering and Computer Science 16, n.º 3 (1 de diciembre de 2019): 1196. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1196-1202.
Texto completoKitano, Houichi y Terumi Nakamura. "Predicting Residual Weld Stress Distribution with an Adaptive Neuro-Fuzzy Inference System". International Journal of Automation Technology 12, n.º 3 (1 de mayo de 2018): 290–96. http://dx.doi.org/10.20965/ijat.2018.p0290.
Texto completoKharola, Ashwani y Pravin P. Patil. "Stabilization and Control of Elastic Inverted Pendulum System (EIPS) Using Adaptive Fuzzy Inference Controllers". International Journal of Fuzzy System Applications 6, n.º 4 (octubre de 2017): 21–32. http://dx.doi.org/10.4018/ijfsa.2017100102.
Texto completoAtsalakis, George, Eleni Chnarogiannaki y Consantinos Zopounidis. "Tourism Demand Forecasting Based on a Neuro-Fuzzy Model". International Journal of Corporate Finance and Accounting 1, n.º 1 (enero de 2014): 60–69. http://dx.doi.org/10.4018/ijcfa.2014010104.
Texto completoYakkaluri, Pratapa Reddy, Lakshmi Narayana Kavuluru y Kedar Mallik Mantrala. "Tribological analysis of laser deposited SS316L/Co27Cr6Mo functionally graded materials using adaptive neuro-fuzzy inference system". Multidisciplinary Science Journal 5, n.º 3 (29 de abril de 2023): 2023026. http://dx.doi.org/10.31893/multiscience.2023026.
Texto completo