Výsledky vyhledávání - "Backpropagation algorithms"

  1. 1

    An Integrated Deep Learning-Based Data Fusion and Degradation Modeling Method for Improving Prognostics Autor Wang, Di, Liu, Kaibo

    ISSN: 1545-5955, 1558-3783
    Vydáno: New York IEEE 01.04.2024
    “…Accurate prognostics are crucially important to prevent unexpected failures in industrial and service systems. This process aims to monitor the degradation…”
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    Utilizing Gamma Band to Improve Mental Task Based Brain-Computer Interface Design Autor Palaniappan, R.

    ISSN: 1534-4320, 1558-0210
    Vydáno: United States IEEE 01.09.2006
    “… Elman neural network (ENN) trained by the resilient backpropagation algorithm was used to classify the power and asymmetry ratios from EEG into different combinations of two mental tasks…”
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    Detection of Facial Expressions Based on Three Feature Points Using Image Processing with Artificial Neural Networks Autor Dillague, Joseph Diego O., Juico, Joseph Harvey A., Yu, Nicholas Spencer L., de Goma, Joel C.

    Vydáno: IEEE 24.04.2024
    “… Using Artificial Neural Networks with a Backpropagation algorithm for training and testing emotion detection, the study aims to answer whether further segmentation can increase the accuracy of facial…”
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    Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks Autor Anderson, C.W., Stolz, E.A., Shamsunder, S.

    ISSN: 0018-9294
    Vydáno: New York, NY IEEE 01.03.1998
    “… EEG signals from four subjects were recorded while they performed two mental tasks. Quarter-second windows of six-channel EEG were transformed into four different representations…”
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    A physical model-based approach to detecting sky in photographic images Autor Jiebo Luo, Etz, S.P.

    ISSN: 1057-7149, 1941-0042
    Vydáno: New York, NY IEEE 01.03.2002
    Vydáno v IEEE transactions on image processing (01.03.2002)
    “…Sky is among the most important subject matter frequently seen in photographic images…”
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    Neural Network Modeling and Assessment of the Territorial Situation Autor Zinchenko, Elena G., Bidenko, Sergey I., Khramov, Igor S., Minakov, Vladimir F., Dytlov, Sergey A., Ivanovskii, Aleksei N.

    ISSN: 2376-6565
    Vydáno: IEEE 25.01.2022
    “…The technologies of using the apparatus of an artificial neural network in a new subject area - procedures for spatial assessment of the rapidly changing situation in the region are considered…”
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    On-line learning of dynamical systems in the presence of model mismatch and disturbances Autor Jiang, D, Wang, J

    ISSN: 1045-9227
    Vydáno: United States IEEE 01.11.2000
    Vydáno v IEEE transactions on neural networks (01.11.2000)
    “… The unknown dynamic systems to be learned are subject to disturbances and possibly unstable…”
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    Neurofuzzy modeling of chemical vapor deposition processes Autor Geisler, J.P., Lee, C.S.G., May, G.S.

    ISSN: 0894-6507, 1558-2345
    Vydáno: New York, NY IEEE 01.02.2000
    “…The modeling of semiconductor manufacturing processes has been the subject of intensive research efforts for years. Physical-based (first-principle…”
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    Prediction of GPS-TEC on Mw>5 Earthquake Days Using Bayesian Regularization Backpropagation Algorithm Autor Karatay, Secil, Gul, Saide Eda

    ISSN: 1545-598X, 1558-0571
    Vydáno: IEEE 01.01.2023
    “…Detection of earthquake precursor signals a few days before the earthquake day is one of the most studied subjects today…”
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    Computerized Classification of Normal and Abnormal Lung Sounds by Multivariate Linear Autoregressive Model Autor Martinez-Hernandez, H.G., Aljama-Corrales, C.T., Gonzalez-Camarena, R., Charleston-Villalobos VS, Chi-Lem, G.

    ISBN: 0780387414, 9780780387416
    ISSN: 1094-687X, 1557-170X
    Vydáno: United States IEEE 2005
    “… A microphone array of 25 sensors was attached on the thoracic surface of the subjects, who were breathing at 1.5 L/sec…”
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    5 Earthquake Days Using Bayesian Regularization Backpropagation Algorithm Autor Karatay, Secil, Saide Eda Gul

    ISSN: 1545-598X, 1558-0571
    Vydáno: Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.01.2023
    “…The detection of earthquake precursor signals a few days before the earthquake day is one of the most studied subjects today…”
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    Journal Article
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    Classification of mental tasks using fixed and adaptive autoregressive models of EEG signals Autor Huan Nai-Jen, Palaniappan, R.

    ISBN: 9780780384392, 0780384393
    ISSN: 1557-170X
    Vydáno: United States IEEE 2004
    “…). We classify EEG signals that were extracted during mental tasks using fixed autoregressive (FAR) and adaptive AR (AAR) models. Five different mental tasks from 4 subjects…”
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    Classification of Mental Tasks Using Fixed and Adaptive Autoregressive Models of EEG Signals Autor Nai-Jen Huan, Palaniappan, R.

    ISBN: 9780780387102, 0780387104
    ISSN: 1948-3546
    Vydáno: IEEE 2005
    “… Five different mental tasks from 4 subjects were used in the experimental study and combinations of 2 different mental tasks are studied for each subject…”
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    Improved training of neural networks for the nonlinear active control of sound and vibration Autor Bouchard, M., Paillard, B., Chon Tan Le Dinh

    ISSN: 1045-9227
    Vydáno: New York, NY IEEE 01.03.1999
    Vydáno v IEEE transactions on neural networks (01.03.1999)
    “…Active control of sound and vibration has been the subject of a lot of research, and examples of applications are now numerous…”
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    Conditional market segmentation by neural networks Autor Natter, M.

    ISBN: 0818677430, 9780818677434
    ISSN: 1060-3425
    Vydáno: IEEE 1997
    “… (psychographics/sociodemographics). Parameters of all models are estimated by the backpropagation algorithm…”
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    Distributed Optimization of Multiuser MIMO Relay Network Using Backpropagation Algorithm Autor Wang, Rui, Jiang, Yi

    ISSN: 2576-2303
    Vydáno: IEEE 31.10.2021
    “…This paper studies a multiuser multi-input multi-output (MIMO) relay network, where the transmit nodes and the relay nodes are subject to the nonlinear instantaneous power constraints…”
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    A novel neural network training technique based on a multi-algorithm constrained optimization strategy Autor Karras, D.A., Lagaris, I.E.

    ISBN: 9780818686467, 0818686464
    ISSN: 1089-6503
    Vydáno: IEEE 1998
    “… The superiority of this approach, over Off-line Backpropagation algorithm, the RPROP training procedure as well as over the stand alone algorithms involved in the proposed complex optimization…”
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    Structure-adaptive SOM to classify 3-dimensional point light actors' gender Autor Sung-Bae Cho

    ISBN: 9810475241, 9789810475246
    Vydáno: IEEE 2002
    “… We have compared the results with those of conventional pattern classifiers and human subjects. SASOM turns out to be the best classifier producing 97.1…”
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    Neural network classification of EEG signals using time-frequency representation Autor Gope, C., Kehtarnavaz, N., Nair, D.

    ISBN: 0780390482, 9780780390485
    ISSN: 2161-4393
    Vydáno: IEEE 2005
    “… The texture features are fed into a three-layer neural network classifier trained by the backpropagation algorithm…”
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