Literatura académica sobre el tema "EMD - Neural networks"
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Artículos de revistas sobre el tema "EMD - Neural networks"
Zheng, Jing Wen, Shi Xiao Li y Yang Kun. "A New Hybrid Model for Forecasting Crude Oil Price and the Techniques in the Model". Advanced Materials Research 974 (junio de 2014): 310–17. http://dx.doi.org/10.4028/www.scientific.net/amr.974.310.
Texto completoSaâdaoui, Foued y Othman Ben Messaoud. "Multiscaled Neural Autoregressive Distributed Lag: A New Empirical Mode Decomposition Model for Nonlinear Time Series Forecasting". International Journal of Neural Systems 30, n.º 08 (26 de junio de 2020): 2050039. http://dx.doi.org/10.1142/s0129065720500392.
Texto completoLei, Yu, Danning Zhao y Hongbing Cai. "Ultra Short-term Prediction of Pole Coordinates via Combination of Empirical Mode Decomposition and Neural Networks". Artificial Satellites 51, n.º 4 (1 de diciembre de 2016): 149–61. http://dx.doi.org/10.1515/arsa-2016-0013.
Texto completoGe, Yujia, Yurong Nan y Lijun Bai. "A Hybrid Prediction Model for Solar Radiation Based on Long Short-Term Memory, Empirical Mode Decomposition, and Solar Profiles for Energy Harvesting Wireless Sensor Networks". Energies 12, n.º 24 (13 de diciembre de 2019): 4762. http://dx.doi.org/10.3390/en12244762.
Texto completoJiang, Qi, Yuxin Cheng, Haozhe Le, Chunquan Li y Peter X. Liu. "A Stacking Learning Model Based on Multiple Similar Days for Short-Term Load Forecasting". Mathematics 10, n.º 14 (13 de julio de 2022): 2446. http://dx.doi.org/10.3390/math10142446.
Texto completoHuang, Xiaoxin y Xiuxiu Chen. "A Quantitative Model of International Trade Based on Deep Neural Network". Computational Intelligence and Neuroscience 2022 (31 de mayo de 2022): 1–11. http://dx.doi.org/10.1155/2022/9811358.
Texto completoZhou, Shuyi, Brandon J. Bethel, Wenjin Sun, Yang Zhao, Wenhong Xie y Changming Dong. "Improving Significant Wave Height Forecasts Using a Joint Empirical Mode Decomposition–Long Short-Term Memory Network". Journal of Marine Science and Engineering 9, n.º 7 (5 de julio de 2021): 744. http://dx.doi.org/10.3390/jmse9070744.
Texto completoZhang, Boning. "Foreign exchange rates forecasting with an EMD-LSTM neural networks model". Journal of Physics: Conference Series 1053 (julio de 2018): 012005. http://dx.doi.org/10.1088/1742-6596/1053/1/012005.
Texto completoChengzhao, Zhang, Pan Heiping y Zhou Ke. "Comparison of Back Propagation Neural Networks and EMD-Based Neural Networks in Forecasting the Three Major Asian Stock Markets". Journal of Applied Sciences 15, n.º 1 (15 de diciembre de 2014): 90–99. http://dx.doi.org/10.3923/jas.2015.90.99.
Texto completoShu, Wangwei y Qiang Gao. "Forecasting Stock Price Based on Frequency Components by EMD and Neural Networks". IEEE Access 8 (2020): 206388–95. http://dx.doi.org/10.1109/access.2020.3037681.
Texto completoTesis sobre el tema "EMD - Neural networks"
Post, David L. "Network Management: Assessing Internet Network-Element Fault Status Using Neural Networks". Ohio : Ohio University, 2008. http://www.ohiolink.edu/etd/view.cgi?ohiou1220632155.
Texto completoLee, Yee Hui. "Evolutionary techniques for the optimisation of EMC antennas". Thesis, University of York, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270061.
Texto completoDonachy, Shaun. "Spiking Neural Networks: Neuron Models, Plasticity, and Graph Applications". VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3984.
Texto completoDraper, Matthew C. "Neural algorithms for EMI based landmine detection". Honors in the Major Thesis, University of Central Florida, 2003. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/410.
Texto completoBachelors
Engineering and Computer Science
Computer Engineering
Liu, Ming Ming. "Dynamic muscle force prediction from EMG signals using artificial neural networks". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq20875.pdf.
Texto completoChan, Heather Y. "Gene Network Inference and Expression Prediction Using Recurrent Neural Networks and Evolutionary Algorithms". BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2648.
Texto completoTarullo, Viviana. "Artificial Neural Networks for classification of EMG data in hand myoelectric control". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19195/.
Texto completoHettinger, Christopher James. "Hyperparameters for Dense Neural Networks". BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7531.
Texto completoAtalla, Mauro J. "Model Updating Using Neural Networks". Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-274210359611541/.
Texto completoMoncur, Tyler. "Optimal Learning Rates for Neural Networks". BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8662.
Texto completoLibros sobre el tema "EMD - Neural networks"
Shishkin, Aleksey. Methods of digital processing and speech recognition. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1904325.
Texto completoKasabov, Nikola. Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering. The MIT Press, 1996. http://dx.doi.org/10.7551/mitpress/3071.001.0001.
Texto completoNolte, David D. Introduction to Modern Dynamics. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198844624.001.0001.
Texto completoLee, Joonkoo. Global Commodity Chains and Global Value Chains. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.201.
Texto completoCapítulos de libros sobre el tema "EMD - Neural networks"
Meng, Qingfang, Shanshan Chen, Weidong Zhou y Xinghai Yang. "Seizure Detection in Clinical EEG Based on Entropies and EMD". En Advances in Neural Networks – ISNN 2013, 323–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39068-5_40.
Texto completoMeng, Qingfang, Lei Du, Shanshan Chen y Hanyong Zhang. "Epileptic Detection Based on EMD and Sparse Representation in Clinic EEG". En Advances in Neural Networks – ISNN 2018, 842–49. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92537-0_95.
Texto completoMeng, Qingfang, Shanshan Chen, Haihong Liu, Yunxia Liu y Dong Wang. "Detection of Epileptic Seizure in EEG Using Sparse Representation and EMD". En Advances in Neural Networks - ISNN 2017, 516–23. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59081-3_60.
Texto completoDu, Lei, Yuwei Zhang, Qingfang Meng, Hanyong Zhang y Yang Li. "Automatic Seizure Detection Based on a Novel Multi-feature Fusion Method and EMD". En Advances in Neural Networks – ISNN 2019, 512–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22808-8_50.
Texto completoSun, Yuehui y Di Zhang. "DT-CWT Feature Structure Representation for Face Recognition under Varying Illumination Using EMD". En Advances in Neural Networks – ISNN 2009, 429–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01513-7_47.
Texto completoLeo, Marco, David Looney, Tiziana D’Orazio y Danilo P. Mandic. "Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals". En Artificial Neural Networks in Pattern Recognition, 219–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12159-3_20.
Texto completoWei, Yingda, Qingfang Meng, Haihong Liu, Jin Zhou y Dong Wang. "An Improved Symbol Entropy Algorithm Based on EMD for Detecting VT and VF". En Advances in Neural Networks - ISNN 2017, 345–52. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59081-3_41.
Texto completoLabate, Domenico, Fabio La Foresta, Giuseppe Morabito, Isabella Palamara y Francesco Carlo Morabito. "On the Use of Empirical Mode Decomposition (EMD) for Alzheimer’s Disease Diagnosis". En Advances in Neural Networks: Computational and Theoretical Issues, 121–28. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18164-6_12.
Texto completoHagn, Korbinian y Oliver Grau. "Optimized Data Synthesis for DNN Training and Validation by Sensor Artifact Simulation". En Deep Neural Networks and Data for Automated Driving, 127–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01233-4_4.
Texto completoMalik, Hasmat, Yogesh Pandya, Aakash Parashar y Rajneesh Sharma. "Feature Extraction Using EMD and Classifier Through Artificial Neural Networks for Gearbox Fault Diagnosis". En Advances in Intelligent Systems and Computing, 309–17. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1822-1_28.
Texto completoActas de conferencias sobre el tema "EMD - Neural networks"
Miao, Yao y Jianting Cao. "Comparison of EMD, MEMD and 2T-EMD by analyzing standard artificial signals and EEG". En 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017. http://dx.doi.org/10.1109/ijcnn.2017.7966012.
Texto completoGe Guangtao, Sang Enfang, Liu Zhuofu y Zhu Beibei. "Bidimensional EMD infinite sifting". En 2008 International Conference on Neural Networks and Signal Processing (ICNNSP). IEEE, 2008. http://dx.doi.org/10.1109/icnnsp.2008.4590370.
Texto completoDjeddou, Messaoud, Xingang Zhao, Ibrahim A. Hameed y Ahmed Rahmani. "Hybrid Improved Empirical Mode Decomposition and Artificial Neural Network Model for the Prediction of Critical Heat Flux (CHF)". En 2021 28th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/icone28-64879.
Texto completoTianqiang Yuan, Nenghai Yu y Xuelong Li. "Image retrieval with EMD for new perceptual color feature". En Proceedings of 2003 International Conference on Neural Networks and Signal Processing. IEEE, 2003. http://dx.doi.org/10.1109/icnnsp.2003.1280761.
Texto completoJiao, Xiaoxuan, Bo Jing, Yifeng Huang, Wei Liang y Guangyue Xu. "A fault diagnosis approach for airborne fuel pump based on EMD and probabilistic neural networks". En 2016 Prognostics and System Health Management Conference (PHM-Chengdu). IEEE, 2016. http://dx.doi.org/10.1109/phm.2016.7819831.
Texto completoYUAN, CAO, ZHOU YUHAN y SUN YONGKUI. "FAULT DIAGNOSIS OF TURNOUT SWITCH MACHINE BASED ON BRAIN-INSPIRED INTELLIGENCE". En 3rd International Workshop on Structural Health Monitoring for Railway System (IWSHM-RS 2021). Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/iwshm-rs2021/36031.
Texto completoLai, Chiayu, Zhe-Lun Jhang y Deng-Neng Chen. "To Design and Implement a Recommender System based on Brainwave: Applying Empirical Model Decomposition (EMD) and Neural Networks". En Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2019. http://dx.doi.org/10.24251/hicss.2019.536.
Texto completoAuluck, Nandika y Seetaram Maurya. "A Data-Driven Diagnosis and Prognosis method for Machinery Tools Based on EMD and Dual-Task Deep Neural Networks". En 2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON). IEEE, 2022. http://dx.doi.org/10.1109/catcon56237.2022.10077686.
Texto completoGAO, MINGLIANG, SHAN GAO, CHUANG YU, DEQUAN LI, SHIJI SONG, HAIMING SHI, HONGLIANG SUN y HONGCHAO WANG. "RESEARCH AND APPLICATION OF RADIAL BASIS NETWORK BOGIE FAULT DIAGNOSIS MODEL BASED ON PARTICLE SWARM OPTIMIZATION". En 3rd International Workshop on Structural Health Monitoring for Railway System (IWSHM-RS 2021). Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/iwshm-rs2021/36030.
Texto completoHu, Weifei, Yihan He, Zhenyu Liu, Jianrong Tan, Ming Yang y Jiancheng Chen. "A Hybrid Wind Speed Prediction Approach Based on Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks for Digital Twin". En ASME 2020 Power Conference collocated with the 2020 International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/power2020-16500.
Texto completoInformes sobre el tema "EMD - Neural networks"
Tarasenko, Andrii O., Yuriy V. Yakimov y Vladimir N. Soloviev. Convolutional neural networks for image classification. [б. в.], febrero de 2020. http://dx.doi.org/10.31812/123456789/3682.
Texto completoSeginer, Ido, Louis D. Albright y Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, febrero de 2001. http://dx.doi.org/10.32747/2001.7575271.bard.
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