Artykuły w czasopismach na temat „MLPANN”
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Mirbagheri, Sayed Ahmad, Majid Bagheri, Majid Ehteshami, Zahra Bagheri i Masoud Pourasghar. "MODELING OF MIXED LIQUOR VOLATILE SUSPENDED SOLIDS AND PERFORMANCE EVALUATION FOR A SEQUENCING BATCH REACTOR". Journal of Urban and Environmental Engineering 9, nr 1 (27.12.2015): 54–65. http://dx.doi.org/10.4090/juee.2015.v9n1.054065.
Pełny tekst źródłaMirbagheri, Sayed Ahmad, Majid Bagheri, Majid Ehteshami, Zahra Bagheri i Masoud Pourasghar. "MODELING OF MIXED LIQUOR VOLATILE SUSPENDED SOLIDS AND PERFORMANCE EVALUATION FOR A SEQUENCING BATCH REACTOR". Journal of Urban and Environmental Engineering 9, nr 1 (27.12.2015): 54–65. http://dx.doi.org/10.4090/juee.2015.v9n1.54-65.
Pełny tekst źródłaAlizamir, Meysam, Zahra Kazemi, Zohre Kazemi, Majid Kermani, Sungwon Kim, Salim Heddam, Ozgur Kisi i Il-Moon Chung. "Investigating Landfill Leachate and Groundwater Quality Prediction Using a Robust Integrated Artificial Intelligence Model: Grey Wolf Metaheuristic Optimization Algorithm and Extreme Learning Machine". Water 15, nr 13 (4.07.2023): 2453. http://dx.doi.org/10.3390/w15132453.
Pełny tekst źródłaMobasser, Farid, i Keyvan Hashtrudi-Zaad. "A Comparative Approach to Hand Force Estimation using Artificial Neural Networks". Biomedical Engineering and Computational Biology 4 (styczeń 2012): BECB.S9335. http://dx.doi.org/10.4137/becb.s9335.
Pełny tekst źródłaAlizamir, Meysam, Kaywan Othman Ahmed, Sungwon Kim, Salim Heddam, AliReza Docheshmeh Gorgij i Sun Woo Chang. "Development of a robust daily soil temperature estimation in semi-arid continental climate using meteorological predictors based on computational intelligent paradigms". PLOS ONE 18, nr 12 (27.12.2023): e0293751. http://dx.doi.org/10.1371/journal.pone.0293751.
Pełny tekst źródłaHussain, Bydaa Ali, i Mohammed Sadoon Hathal. "Developing Arabic License Plate Recognition System Using Artificial Neural Network and Canny Edge Detection". Baghdad Science Journal 17, nr 3 (1.09.2020): 0909. http://dx.doi.org/10.21123/bsj.2020.17.3.0909.
Pełny tekst źródłaHussain, Bydaa Ali, i Mohammed Sadoon Hathal. "Development of Iraqi License Plate Recognition System based on Canny Edge Detection Method". Journal of Engineering 26, nr 7 (1.07.2020): 115–26. http://dx.doi.org/10.31026/j.eng.2020.07.08.
Pełny tekst źródłaPrashanth, M., D. Madhu, K. Ramanarasimh i R. Suresh. "Effect of Heat Input and Filling Ratio on Raise in Temperature of the Oscillating Heat Pipe with Different Working Fluids Using ANN Model". International Journal of Heat and Technology 40, nr 2 (30.04.2022): 535–42. http://dx.doi.org/10.18280/ijht.400221.
Pełny tekst źródłaGebremariam, Gebrekiros Gebreyesus, J. Panda i S. Indu. "Localization and Detection of Multiple Attacks in Wireless Sensor Networks Using Artificial Neural Network". Wireless Communications and Mobile Computing 2023 (10.01.2023): 1–29. http://dx.doi.org/10.1155/2023/2744706.
Pełny tekst źródłaSAHIN, CENK, SEYFETTIN NOYAN OGULATA, KEZBAN ASLAN, HACER BOZDEMIR i RIZVAN EROL. "A NEURAL NETWORK-BASED CLASSIFICATION MODEL FOR PARTIAL EPILEPSY BY EEG SIGNALS". International Journal of Pattern Recognition and Artificial Intelligence 22, nr 05 (sierpień 2008): 973–85. http://dx.doi.org/10.1142/s0218001408006594.
Pełny tekst źródłaBensaoucha, Saddam, Youcef Brik, Sandrine Moreau, Sid Ahmed Bessedik i Aissa Ameur. "Induction machine stator short-circuit fault detection using support vector machine". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 40, nr 3 (21.05.2021): 373–89. http://dx.doi.org/10.1108/compel-06-2020-0208.
Pełny tekst źródłaLIN, Mei-Mei, i Fu-Hsiang KUO. "Applying the Multi-Layer Perceptron Neural Network Model to Predicting School Closures: An Example of Taipei City". MANAGEMENT AND ECONOMICS REVIEW 8, nr 3 (31.10.2023): 276–87. http://dx.doi.org/10.24818/mer/2023.10-02.
Pełny tekst źródłaMuşat, Elena Camelia, i Stelian Alexandru Borz. "Learning from Acceleration Data to Differentiate the Posture, Dynamic and Static Work of the Back: An Experimental Setup". Healthcare 10, nr 5 (15.05.2022): 916. http://dx.doi.org/10.3390/healthcare10050916.
Pełny tekst źródłaVelliangiri, S., i R. Selvam. "Investigation Distributed Denial of Service Attack Classification Using MLPNN-BP and MLPNN-LM". Journal of Computational and Theoretical Nanoscience 15, nr 9 (1.09.2018): 2764–68. http://dx.doi.org/10.1166/jctn.2018.7536.
Pełny tekst źródłaWang, Guoqing, Changquan Wang i Lihong Shi. "CO2 Corrosion Rate Prediction for Submarine Multiphase Flow Pipelines Based on Multi-Layer Perceptron". Atmosphere 13, nr 11 (3.11.2022): 1833. http://dx.doi.org/10.3390/atmos13111833.
Pełny tekst źródłaHamadneh, Nawaf N. "Dead Sea Water Levels Analysis Using Artificial Neural Networks and Firefly Algorithm". International Journal of Swarm Intelligence Research 11, nr 3 (lipiec 2020): 19–29. http://dx.doi.org/10.4018/ijsir.2020070102.
Pełny tekst źródłaRezaie-Balf, Mohammad, i Ozgur Kisi. "New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine". Hydrology Research 49, nr 3 (27.03.2017): 939–53. http://dx.doi.org/10.2166/nh.2017.283.
Pełny tekst źródłaAl-Hashem, Mohammed Najeeb, Muhammad Nasir Amin, Waqas Ahmad, Kaffayatullah Khan, Ayaz Ahmad, Saqib Ehsan, Qasem M. S. Al-Ahmad i Muhammad Ghulam Qadir. "Data-Driven Techniques for Evaluating the Mechanical Strength and Raw Material Effects of Steel Fiber-Reinforced Concrete". Materials 15, nr 19 (6.10.2022): 6928. http://dx.doi.org/10.3390/ma15196928.
Pełny tekst źródłaAli, Zulifqar, Ijaz Hussain, Muhammad Faisal, Hafiza Mamona Nazir, Tajammal Hussain, Muhammad Yousaf Shad, Alaa Mohamd Shoukry i Showkat Hussain Gani. "Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model". Advances in Meteorology 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/5681308.
Pełny tekst źródłaEl Aoumari, Abdelaziz, Hamid Ouadi, Jamal El-Bakkouri i Fouad Giri. "Adaptive neural network observer for proton-exchange membrane fuel cell system". Clean Energy 7, nr 5 (1.10.2023): 1078–90. http://dx.doi.org/10.1093/ce/zkad048.
Pełny tekst źródłaZhu, Senlin, i Salim Heddam. "Prediction of dissolved oxygen in urban rivers at the Three Gorges Reservoir, China: extreme learning machines (ELM) versus artificial neural network (ANN)". Water Quality Research Journal 55, nr 1 (29.07.2019): 106–18. http://dx.doi.org/10.2166/wqrj.2019.053.
Pełny tekst źródłaNarayanan, Alagusundari, i Dr Sivakumari Subramania Pillai. "A Novel Optimized Neural Network Model for Ink Selection in Printed Electronics". International Journal of Electrical and Electronics Research 11, nr 4 (2.12.2023): 1103–9. http://dx.doi.org/10.37391/ijeer.110430.
Pełny tekst źródłaThan, Nguyen Hien. "WATER QUALITY CLASSIFICATION BY ARTIFICIAL NEURAL NETWORK - A CASE STUDY OF DONG NAI RIVER, VIETNAM". Vietnam Journal of Science and Technology 55, nr 4C (24.03.2018): 297. http://dx.doi.org/10.15625/2525-2518/55/4c/12167.
Pełny tekst źródłaMÜGE, DURSUN, ŞENOL YAVUZ, BULGUN ENDER YAZGAN i AKKAN TANER. "Neural network based thermal protective performance prediction of three-layered fabrics for firefighter clothing". Industria Textila 70, nr 01 (1.03.2019): 57–64. http://dx.doi.org/10.35530/it.070.01.1527.
Pełny tekst źródłaJadidi, Aydin, Raimundo Menezes, Nilmar de Souza i Antonio Cezar de Castro Lima. "Short-Term Electric Power Demand Forecasting Using NSGA II-ANFIS Model". Energies 12, nr 10 (17.05.2019): 1891. http://dx.doi.org/10.3390/en12101891.
Pełny tekst źródłaDong, Jingya, Bin Song, Fei He, Yingying Xu, Qiang Wang, Wanjun Li i Peng Zhang. "Research on a Hybrid Intelligent Method for Natural Gas Energy Metering". Sensors 23, nr 14 (19.07.2023): 6528. http://dx.doi.org/10.3390/s23146528.
Pełny tekst źródłaKhan, Mehran, Jiancong Lao i Jian-Guo Dai. "Comparative study of advanced computational techniques for estimating the compressive strength of UHPC". Journal of Asian Concrete Federation 8, nr 1 (30.06.2022): 51–68. http://dx.doi.org/10.18702/acf.2022.6.8.1.51.
Pełny tekst źródłaNuanmeesri, S., i W. Sriurai. "Multi-Layer Perceptron Neural Network Model Development for Chili Pepper Disease Diagnosis Using Filter and Wrapper Feature Selection Methods". Engineering, Technology & Applied Science Research 11, nr 5 (12.10.2021): 7714–19. http://dx.doi.org/10.48084/etasr.4383.
Pełny tekst źródłaDjahafi, Fatiha, i Abdelkader Gafour. "Neuro-Immune Model Based on Bio-Inspired Methods for Medical Diagnosis". International Journal of Ambient Computing and Intelligence 13, nr 1 (styczeń 2022): 1–18. http://dx.doi.org/10.4018/ijaci.293176.
Pełny tekst źródłaRohman, Budiman Putra Asmaur, i Dayat Kurniawan. "Classification of Radar Environment Using Ensemble Neural Network with Variation of Hidden Neuron Number". Jurnal Elektronika dan Telekomunikasi 17, nr 1 (31.08.2017): 19. http://dx.doi.org/10.14203/jet.v17.19-24.
Pełny tekst źródłaKatipoglu, Okan Mert, Muhammet Ali Pekin i Sercan Akil. "The Impact of Preprocessing Approaches on Neural Network Performance: A Case Study on Evaporation in Adana, a Mediterranean Climate". Indonesian Journal of Earth Sciences 3, nr 2 (29.12.2023): A821. http://dx.doi.org/10.52562/injoes.2023.821.
Pełny tekst źródłaLepore, Marco, Claudia de Lalla, S. Ramanjaneyulu Gundimeda, Heiko Gsellinger, Michela Consonni, Claudio Garavaglia, Sebastiano Sansano i in. "A novel self-lipid antigen targets human T cells against CD1c+ leukemias". Journal of Experimental Medicine 211, nr 7 (16.06.2014): 1363–77. http://dx.doi.org/10.1084/jem.20140410.
Pełny tekst źródłaMa, Yue, Xinyu Wu, Can Wang, Zhengkun Yi i Guoyuan Liang. "Gait Phase Classification and Assist Torque Prediction for a Lower Limb Exoskeleton System Using Kernel Recursive Least-Squares Method". Sensors 19, nr 24 (10.12.2019): 5449. http://dx.doi.org/10.3390/s19245449.
Pełny tekst źródłaXie, Nai-ming, Song-Ming Yin i Chuan-Zhen Hu. "Estimating a civil aircraft’s development cost with a GM(1, N) model and an MLP neural network". Grey Systems: Theory and Application 7, nr 1 (6.02.2017): 2–18. http://dx.doi.org/10.1108/gs-11-2016-0049.
Pełny tekst źródłaTur, Rifat, i Serbay Yontem. "A Comparison of Soft Computing Methods for the Prediction of Wave Height Parameters". Knowledge-Based Engineering and Sciences 2, nr 1 (2.05.2021): 31–46. http://dx.doi.org/10.51526/kbes.2021.2.1.31-46.
Pełny tekst źródłaAlsaffar, May Ali, Mohamed Abdel Rahman Abdel Ghany, Alyaa K. Mageed, Adnan A. AbdulRazak, Jamal Manee Ali, Khalid A. Sukkar i Bamidele Victor Ayodele. "Effect of Textural Properties on the Degradation of Bisphenol from Industrial Wastewater Effluent in a Photocatalytic Reactor: A Modeling Approach". Applied Sciences 13, nr 15 (4.08.2023): 8966. http://dx.doi.org/10.3390/app13158966.
Pełny tekst źródłaWaili, T., Md Gapar Md Johar, K. A. Sidek, N. S. H. Mohd Nor, H. Yaacob i M. Othman. "EEG Based Biometric Identification Using Correlation and MLPNN Models". International Journal of Online and Biomedical Engineering (iJOE) 15, nr 10 (27.06.2019): 77. http://dx.doi.org/10.3991/ijoe.v15i10.10880.
Pełny tekst źródłaAchili, B., B. Daachi, Y. Amirat, A. Ali-Cherif i M. E. Daâchi. "A stable adaptive force/position controller for a C5 parallel robot: a neural network approach". Robotica 30, nr 7 (17.01.2012): 1177–87. http://dx.doi.org/10.1017/s0263574711001354.
Pełny tekst źródłaPrzybył, Krzysztof, Krzysztof Koszela, Franciszek Adamski, Katarzyna Samborska, Katarzyna Walkowiak i Mariusz Polarczyk. "Deep and Machine Learning Using SEM, FTIR, and Texture Analysis to Detect Polysaccharide in Raspberry Powders". Sensors 21, nr 17 (30.08.2021): 5823. http://dx.doi.org/10.3390/s21175823.
Pełny tekst źródłaMalik, Anurag, Anil Kumar, Priya Rai i Alban Kuriqi. "Prediction of Multi-Scalar Standardized Precipitation Index by Using Artificial Intelligence and Regression Models". Climate 9, nr 2 (1.02.2021): 28. http://dx.doi.org/10.3390/cli9020028.
Pełny tekst źródłaEscobar-Avalos, Emmanuel, Martín A. Rodríguez-Licea, Horacio Rostro-González, Allan G. Soriano-Sánchez i Francisco J. Pérez-Pinal. "A Comparison of Integrated Filtering and Prediction Methods for Smart Grids". Energies 14, nr 7 (2.04.2021): 1980. http://dx.doi.org/10.3390/en14071980.
Pełny tekst źródłaOstrowski, Jennifer Lynn, i Cheree M. Iadevaia. "Characteristics and Program Decisions of Master's-Level Professional Athletic Training Students". Athletic Training Education Journal 9, nr 1 (1.05.2014): 36–42. http://dx.doi.org/10.4085/090136.
Pełny tekst źródłaKamrud, Alexander, Brett Borghetti, Christine Schubert Kabban i Michael Miller. "Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks". Sensors 21, nr 16 (20.08.2021): 5617. http://dx.doi.org/10.3390/s21165617.
Pełny tekst źródłaJadidi, Aydin, Raimundo Menezes, Nilmar de Souza i Antonio de Castro Lima. "A Hybrid GA–MLPNN Model for One-Hour-Ahead Forecasting of the Global Horizontal Irradiance in Elizabeth City, North Carolina". Energies 11, nr 10 (2.10.2018): 2641. http://dx.doi.org/10.3390/en11102641.
Pełny tekst źródłaKamel, Nayra M., Maged W. Helmy, Magda W. Samaha, Doaa Ragab i Ahmed O. Elzoghby. "Multicompartmental lipid–protein nanohybrids for combined tretinoin/herbal lung cancer therapy". Nanomedicine 14, nr 18 (wrzesień 2019): 2461–79. http://dx.doi.org/10.2217/nnm-2019-0090.
Pełny tekst źródłaNafees, Afnan, Muhammad Faisal Javed, Sherbaz Khan, Kashif Nazir, Furqan Farooq, Fahid Aslam, Muhammad Ali Musarat i Nikolai Ivanovich Vatin. "Predictive Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Artificial Intelligence Approaches: MLPNN, ANFIS, and GEP". Materials 14, nr 24 (8.12.2021): 7531. http://dx.doi.org/10.3390/ma14247531.
Pełny tekst źródłaAmaro, V., S. Cavuoti, M. Brescia, C. Vellucci, C. Tortora i G. Longo. "METAPHOR: Probability density estimation for machine learning based photometric redshifts". Proceedings of the International Astronomical Union 12, S325 (październik 2016): 197–200. http://dx.doi.org/10.1017/s1743921317002186.
Pełny tekst źródłaRahman, Md Mizanur, Chalie Charoenlarpnopparut, Prapun Suksompong i Pisanu Toochinda. "Sensor Array Optimization for Complexity Reduction in Electronic Nose System". ECTI Transactions on Electrical Engineering, Electronics, and Communications 15, nr 1 (28.09.2016): 49–59. http://dx.doi.org/10.37936/ecti-eec.2017151.171295.
Pełny tekst źródłaHouichi, Larbi, Noureddine Dechemi, Salim Heddam i Bachir Achour. "An evaluation of ANN methods for estimating the lengths of hydraulic jumps in U-shaped channel". Journal of Hydroinformatics 15, nr 1 (21.09.2012): 147–54. http://dx.doi.org/10.2166/hydro.2012.138.
Pełny tekst źródłaZhang, Zhe, Tuija Laakso, Zeyu Wang, Seppo Pulkkinen, Suvi Ahopelto, Kirsi Virrantaus, Yu Li i in. "Comparative Study of AI-Based Methods—Application of Analyzing Inflow and Infiltration in Sanitary Sewer Subcatchments". Sustainability 12, nr 15 (3.08.2020): 6254. http://dx.doi.org/10.3390/su12156254.
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