Статті в журналах з теми "Fuzzy GMDH"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-48 статей у журналах для дослідження на тему "Fuzzy GMDH".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
Ozovehe, Aliyu, Okpo U. Okereke, Anene E. Chibuzo, and Abraham U. Usman. "Comparative Analysis of Traffic Congestion Prediction Models for Cellular Mobile Macrocells." European Journal of Engineering Research and Science 3, no. 6 (June 30, 2018): 32. http://dx.doi.org/10.24018/ejers.2018.3.6.767.
Повний текст джерелаOzovehe, Aliyu, Okpo U. Okereke, Anene E. Chibuzo, and Abraham U. Usman. "Comparative Analysis of Traffic Congestion Prediction Models for Cellular Mobile Macrocells." European Journal of Engineering and Technology Research 3, no. 6 (June 30, 2018): 32–38. http://dx.doi.org/10.24018/ejeng.2018.3.6.767.
Повний текст джерелаZaychenko, Yuriy, and Helen Zaychenko. "Fuzzy GMDH and its application to forecasting financial processes." System research and information technologies, no. 1 (March 25, 2019): 91–109. http://dx.doi.org/10.20535/srit.2308-8893.2019.1.07.
Повний текст джерелаMohanty, Ramakanta, V. Ravi, and M. R. Patra. "Application of Machine Learning Techniques to Predict Software Reliability." International Journal of Applied Evolutionary Computation 1, no. 3 (July 2010): 70–86. http://dx.doi.org/10.4018/jaec.2010070104.
Повний текст джерелаYousefpour, A., and Z. Ahmadpour. "The Prediction Of Air Pollution By Using Neuro-fuzzy Gmdh." Journal of Mathematics and Computer Science 02, no. 03 (April 15, 2011): 488–94. http://dx.doi.org/10.22436/jmcs.02.03.13.
Повний текст джерелаNAGASAKA, K., H. ICHIHASHI, and R. LEONARD. "Neuro-fuzzy GMDH and its application to modelling grinding characteristics." International Journal of Production Research 33, no. 5 (May 1995): 1229–40. http://dx.doi.org/10.1080/00207549508930206.
Повний текст джерелаZhu, Bing, Chang-Zheng He, Panos Liatsis, and Xiao-Yu Li. "A GMDH-based fuzzy modeling approach for constructing TS model." Fuzzy Sets and Systems 189, no. 1 (February 2012): 19–29. http://dx.doi.org/10.1016/j.fss.2011.08.004.
Повний текст джерелаHayashi, Isao, and Hideo Tanaka. "The fuzzy GMDH algorithm by possibility models and its application." Fuzzy Sets and Systems 36, no. 2 (June 1990): 245–58. http://dx.doi.org/10.1016/0165-0114(90)90182-6.
Повний текст джерелаHeydari, Azim, Meysam Majidi Nezhad, Mehdi Neshat, Davide Astiaso Garcia, Farshid Keynia, Livio De Santoli, and Lina Bertling Tjernberg. "A Combined Fuzzy GMDH Neural Network and Grey Wolf Optimization Application for Wind Turbine Power Production Forecasting Considering SCADA Data." Energies 14, no. 12 (June 11, 2021): 3459. http://dx.doi.org/10.3390/en14123459.
Повний текст джерелаHarandizadeh, Hooman. "Developing a new hybrid soft computing technique in predicting ultimate pile bearing capacity using cone penetration test data." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 34, no. 1 (January 30, 2020): 114–26. http://dx.doi.org/10.1017/s0890060420000025.
Повний текст джерелаNajafzadeh, Mohammad, and Ahmed M. A. Sattar. "Neuro-Fuzzy GMDH Approach to Predict Longitudinal Dispersion in Water Networks." Water Resources Management 29, no. 7 (March 14, 2015): 2205–19. http://dx.doi.org/10.1007/s11269-015-0936-8.
Повний текст джерелаYOKODE, Katsunori, Hideo TANAKA, and Hisao ISHIBUCHI. "Fuzzy If-Then Rules with Certainty Factors using Multilayer Model of GMDH." Journal of Japan Society for Fuzzy Theory and Systems 7, no. 1 (1995): 131–41. http://dx.doi.org/10.3156/jfuzzy.7.1_131.
Повний текст джерелаHAYASHI, Isao, Hideo TANAKA, Toshio OHONO, and Fusetsu TAKAGI. "Analysis and Prediction of Water Temperatures in a Reservior by the Fuzzy GMDH." Transactions of the Society of Instrument and Control Engineers 23, no. 12 (1987): 1304–11. http://dx.doi.org/10.9746/sicetr1965.23.1304.
Повний текст джерелаNajafzadeh, Mohammad, and Hazi Mohammad Azamathulla. "Neuro-Fuzzy GMDH to Predict the Scour Pile Groups due to Waves." Journal of Computing in Civil Engineering 29, no. 5 (September 2015): 04014068. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000376.
Повний текст джерелаMahdavi-Meymand, Amin, Wojciech Sulisz, and Mohammad Zounemat-Kermani. "A comprehensive study on the application of firefly algorithm in prediction of energy dissipation on block ramps." Eksploatacja i Niezawodnosc - Maintenance and Reliability 24, no. 2 (February 26, 2022): 200–210. http://dx.doi.org/10.17531/ein.2022.2.2.
Повний текст джерелаNajafzadeh, Mohammad, and Siow Yong Lim. "Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gates." Earth Science Informatics 8, no. 1 (February 6, 2014): 187–96. http://dx.doi.org/10.1007/s12145-014-0144-8.
Повний текст джерелаBodyanskiy, Yevgeniy V., Yuriy P. Zaychenko, Galib Hamidov, and Nonna Ye Kulishova. "Multilayer GMDH-neuro-fuzzy network based on extended neo-fuzzy neurons and its application in online facial expression recognition." System research and information technologies, no. 3 (December 7, 2020): 66–78. http://dx.doi.org/10.20535/srit.2308-8893.2020.3.05.
Повний текст джерелаOH, SUNG-KWUN, DONG-WON KIM, and WITOLD PEDRYCZ. "HYBRID FUZZY POLYNOMIAL NEURAL NETWORKS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, no. 03 (June 2002): 257–80. http://dx.doi.org/10.1142/s0218488502001478.
Повний текст джерелаNasir, Vahid, Sepideh Nourian, Stavros Avramidis, and Julie Cool. "Stress wave evaluation for predicting the properties of thermally modified wood using neuro-fuzzy and neural network modeling." Holzforschung 73, no. 9 (August 27, 2019): 827–38. http://dx.doi.org/10.1515/hf-2018-0289.
Повний текст джерелаNajafzadeh, Mohammad, and Abdolreza Zahiri. "Neuro-Fuzzy GMDH-Based Evolutionary Algorithms to Predict Flow Discharge in Straight Compound Channels." Journal of Hydrologic Engineering 20, no. 12 (December 2015): 04015035. http://dx.doi.org/10.1061/(asce)he.1943-5584.0001185.
Повний текст джерелаHwang, Heung Suk. "Fuzzy GMDH-type neural network model and its application to forecasting of mobile communication." Computers & Industrial Engineering 50, no. 4 (August 2006): 450–57. http://dx.doi.org/10.1016/j.cie.2005.08.005.
Повний текст джерелаNaganna, Sujay Raghavendra, Beste Hamiye Beyaztas, Neeraj Bokde, and Asaad M. Armanuos. "ON THE EVALUATION OF THE GRADIENT TREE BOOSTING MODEL FOR GROUNDWATER LEVEL FORECASTING." Knowledge-Based Engineering and Sciences 1, no. 01 (December 31, 2020): 48–57. http://dx.doi.org/10.51526/kbes.2020.1.01.48-57.
Повний текст джерелаNajafzadeh, Mohammad. "Neuro-fuzzy GMDH systems based evolutionary algorithms to predict scour pile groups in clear water conditions." Ocean Engineering 99 (May 2015): 85–94. http://dx.doi.org/10.1016/j.oceaneng.2015.01.014.
Повний текст джерелаGraf, Renata, and Pouya Aghelpour. "Daily River Water Temperature Prediction: A Comparison between Neural Network and Stochastic Techniques." Atmosphere 12, no. 9 (September 7, 2021): 1154. http://dx.doi.org/10.3390/atmos12091154.
Повний текст джерелаHarandizadeh, Hooman, Danial Jahed Armaghani, and Edy Tonnizam Mohamad. "Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets." Neural Computing and Applications 32, no. 17 (February 27, 2020): 14047–67. http://dx.doi.org/10.1007/s00521-020-04803-z.
Повний текст джерелаMozaffari, Ahmad, Alireza Fathi, and Saeed Behzadipour. "An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems." International Journal of Intelligent Computing and Cybernetics 7, no. 1 (March 4, 2014): 38–78. http://dx.doi.org/10.1108/ijicc-06-2013-0034.
Повний текст джерелаZaychenko, Yuriy P., and Igor O. Zayets. "Study of Efficiency of Fuzzy GMDH with Different Forms of Partial Descriptions and Adaptation Algorithms in Prognosis Problems." Journal of Automation and Information Sciences 40, no. 4 (2008): 62–74. http://dx.doi.org/10.1615/jautomatinfscien.v40.i4.50.
Повний текст джерелаNajafzadeh, Mohammad, and Hossein Bonakdari. "Application of a Neuro-Fuzzy GMDH Model for Predicting the Velocity at Limit of Deposition in Storm Sewers." Journal of Pipeline Systems Engineering and Practice 8, no. 1 (February 2017): 06016003. http://dx.doi.org/10.1061/(asce)ps.1949-1204.0000249.
Повний текст джерелаSHIMIZU, Eihan, and Toshiharu KOJIMA. "The Potential for Application of GMDH to Fuzzy Classification of Satellite Image Based on Comparison with Neural Network." Journal of the Japan society of photogrammetry and remote sensing 33, no. 2 (1994): 4–11. http://dx.doi.org/10.4287/jsprs.33.2_4.
Повний текст джерелаNajafzadeh, Mohammad. "Neuro-fuzzy GMDH based particle swarm optimization for prediction of scour depth at downstream of grade control structures." Engineering Science and Technology, an International Journal 18, no. 1 (March 2015): 42–51. http://dx.doi.org/10.1016/j.jestch.2014.09.002.
Повний текст джерелаMartinez-Leon, Juan-Antonio, Jose-Manuel Cano-Izquierdo, and Julio Ibarrola. "Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI." Computational Intelligence and Neuroscience 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/781207.
Повний текст джерелаBeheshti, A. A., and B. Ataie-Ashtiani. "Discussion of “Neuro-fuzzy GMDH systems based evolutionary algorithms to predict scour pile groups in clear water conditions” by M. Najafzadeh." Ocean Engineering 123 (September 2016): 249–52. http://dx.doi.org/10.1016/j.oceaneng.2016.07.005.
Повний текст джерелаAghelpour, Pouya, Babak Mohammadi, Seyed Mostafa Biazar, Ozgur Kisi, and Zohreh Sourmirinezhad. "A Theoretical Approach for Forecasting Different Types of Drought Simultaneously, Using Entropy Theory and Machine-Learning Methods." ISPRS International Journal of Geo-Information 9, no. 12 (November 25, 2020): 701. http://dx.doi.org/10.3390/ijgi9120701.
Повний текст джерелаKumar, Manish, Abidhan Bardhan, Pijush Samui, Jong Wan Hu, and Mosbeh R. Kaloop. "Reliability Analysis of Pile Foundation Using Soft Computing Techniques: A Comparative Study." Processes 9, no. 3 (March 8, 2021): 486. http://dx.doi.org/10.3390/pr9030486.
Повний текст джерелаWong, Kok Wai, Tamás Gedeon, and Chun Che Fung. "Special Issue on Advances in Intelligent Data Processing." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 3 (March 20, 2007): 259–60. http://dx.doi.org/10.20965/jaciii.2007.p0259.
Повний текст джерелаOnisawa, Takehisa. "Special Issue on Selected Papers in SCIS & ISIS 2004 – No.2." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 3 (May 20, 2005): 225. http://dx.doi.org/10.20965/jaciii.2005.p0225.
Повний текст джерелаValdés, Lissette, Alfonso Ariza, Sira M. Allende, Alicia Triviño, and Gonzalo Joya. "Search of the Shortest Path in a Communication Network with Fuzzy Cost Functions." Symmetry 13, no. 8 (August 20, 2021): 1534. http://dx.doi.org/10.3390/sym13081534.
Повний текст джерелаBrailko, A. A., O. V. Gromov, and L. A. Druzhinin. "Digital technologies are the basis of digital economy of civil aviation airport refueling complexes." Civil Aviation High Technologies 23, no. 4 (September 4, 2020): 20–32. http://dx.doi.org/10.26467/2079-0619-2020-23-4-20-32.
Повний текст джерелаSorochak, Oleg, and Svitlana Kvak. "The Model for Selection of Innovation and Investment Strategy of Machine-Building Enterprises: Practical Aspect." Marketing and Management of Innovations, no. 2 (2020): 68–84. http://dx.doi.org/10.21272/mmi.2020.2-05.
Повний текст джерелаTien Bui, Dieu, and Nhat-Duc Hoang. "A Bayesian framework based on a Gaussian mixture model and radial-basis-function Fisher discriminant analysis (BayGmmKda V1.1) for spatial prediction of floods." Geoscientific Model Development 10, no. 9 (September 14, 2017): 3391–409. http://dx.doi.org/10.5194/gmd-10-3391-2017.
Повний текст джерелаSandberg, Berit. "The Artist as Innovation Muse: Findings from a Residence Program in the Fuzzy Front End." Administrative Sciences 10, no. 4 (November 5, 2020): 88. http://dx.doi.org/10.3390/admsci10040088.
Повний текст джерелаJoshi, Ranee, Kavitha Madaiah, Mark Jessell, Mark Lindsay, and Guillaume Pirot. "<i>dh2loop</i> 1.0: an open-source Python library for automated processing and classification of geological logs." Geoscientific Model Development 14, no. 11 (November 4, 2021): 6711–40. http://dx.doi.org/10.5194/gmd-14-6711-2021.
Повний текст джерелаShen, Xiaoli, Ramakrishna Ramisetty, Claudia Mohr, Wei Huang, Thomas Leisner, and Harald Saathoff. "Laser ablation aerosol particle time-of-flight mass spectrometer (LAAPTOF): performance, reference spectra and classification of atmospheric samples." Atmospheric Measurement Techniques 11, no. 4 (April 24, 2018): 2325–43. http://dx.doi.org/10.5194/amt-11-2325-2018.
Повний текст джерелаMeyerhoff, K. "Fuzzy Technologien - Prinzipien, Werkzeuge, Potentiale. VonH.-J. Zimmermann(Hrsg.). VDI Verlag GmbH, Düsseldorf 1993. 251 S., zahlr. Abb. u. Tab., Broschur. DIN A 5, DM 78.-." Chemie Ingenieur Technik 66, no. 11 (November 1994): 1534. http://dx.doi.org/10.1002/cite.330661126.
Повний текст джерелаMalekan, M., A. Khosravi, H. R. Goshayeshi, M. E. H. Assad, and J. J. Garcia Pabon. "Thermal Resistance Modeling of Oscillating Heat Pipes for Nanofluids by Artificial Intelligence Approach." Journal of Heat Transfer 141, no. 7 (May 14, 2019). http://dx.doi.org/10.1115/1.4043569.
Повний текст джерелаKher, Anupam, and Rajendra Yerpude. "Application and Comparative Assessment of Data Mining and Time Series Forecasting Models to Indian Coal Mining Production and Employment Parameters." International Journal of Next-Generation Computing, November 26, 2021. http://dx.doi.org/10.47164/ijngc.v12i5.472.
Повний текст джерелаNajafzadeh, Mohammad, and Ali Tafarojnoruz. "Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers." Environmental Earth Sciences 75, no. 2 (January 2016). http://dx.doi.org/10.1007/s12665-015-4877-6.
Повний текст джерелаHarandizadeh, Hooman, Danial Jahed Armaghani, Mahdi Hasanipanah, and Soheil Jahandari. "A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material." Neural Computing and Applications, April 28, 2022. http://dx.doi.org/10.1007/s00521-022-07214-4.
Повний текст джерела