Search Results - "Back-propagation algorithm"

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  1. 1

    Modeling and prediction using an artificial neural network to study the impact of foreign direct investment on the growth rate / a case study of the State of Qatar by Zain Al-Thalabi, Sahera Hussein, Heydari, Ali Akbar, Tavakoli, Masoud

    ISSN: 0972-0510, 2169-0014
    Published: New Delhi Taylor & Francis 17.11.2022
    Published in Journal of statistics & management systems (17.11.2022)
    “…), and the number of training passes was installed 999 times, and the network learning rate was 0.6 and the activation function used is the SIGMOID function using the back propagation algorithm. The MLP (4-10-1…”
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    Journal Article
  2. 2

    Artificial neural network: A new diagnostic posturographic tool for disorders of stance by Krafczyk, Siegbert, Tietze, Simon, Swoboda, Walter, Valkovič, Peter, Brandt, Thomas

    ISSN: 1388-2457, 1872-8952
    Published: Shannon Elsevier Ireland Ltd 01.08.2006
    Published in Clinical neurophysiology (01.08.2006)
    “… From a database of 676 subjects 60 training cases (TCs) and 60 validation cases (VCs) were selected in which the following diagnoses had been established clinically: normal subject (NS…”
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    Journal Article
  3. 3

    Electroencephalographic based hearing identification using back-propagation algorithm by Sudirman, R, Seow, S C

    ISBN: 9781424438778, 1424438772
    Published: IEEE 01.09.2009
    “…), EEG technology and artificial intelligent. EEG signals which are produced when a subject listen to an audible sounds with particular frequency will be recorded using Neurofax EEG-9200 device for further analysis…”
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    Conference Proceeding
  4. 4

    Detection of femoral artery occlusion from spectral density of Doppler signals using the artificial neural network by Kara, Sadik, Kemaloğlu, Semra, Güven, Ayşegül

    ISSN: 0957-4174, 1873-6793
    Published: Elsevier Ltd 01.11.2005
    Published in Expert systems with applications (01.11.2005)
    “…). Doppler femoral artery signals belong to occlusion patient and healthy subjects were recorded…”
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    Journal Article
  5. 5

    Over-The-Air Calibration of A Phase Shifter Network by Zhang, Wei, Jiang, Yi

    Published: IEEE 11.08.2022
    “… In practice, the phase shifters may be subject to phase deviations, which needs to be properly estimated and calibrated…”
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    Conference Proceeding
  6. 6

    Utilization of artificial neural networks and autoregressive modeling in diagnosing mitral valve stenosis by Kara, Sadık, Güven, Ayşegül, Okandan, Mustafa, Dirgenali, Fatma

    ISSN: 0010-4825, 1879-0534
    Published: United States Elsevier Ltd 01.05.2006
    Published in Computers in biology and medicine (01.05.2006)
    “… Correct classification of 94% was achieved, whereas 4 false classifications have been observed for the test group of 68 subjects in total…”
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  7. 7

    A Distributed MIMO Relay Scheme Inspired by Backpropagation Algorithm by Wang, Rui, Jiang, Yi, Zhang, Wei

    Published: IEEE 01.12.2021
    “…This paper studies a distributed scheme for a multi-input multi-output (MIMO) relay network, where the transmit nodes are subject to the nonlinear instantaneous power constraints…”
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    Conference Proceeding
  8. 8

    Self-tuned PID control based on backpropagation Neural Networks for underwater vehicles by Hernandez-Alvarado, R., Garcia-Valdovinos, L. G., Salgado-Jimenez, T., Gomez-Espinosa, Alfonso, Fonseca Navarro, F.

    Published: IEEE 01.09.2016
    Published in OCEANS 2016 MTS/IEEE Monterey (01.09.2016)
    “…; most of them off-line techniques. However, in those cases wherein plants are subject to continuous parametric changes or external disturbances, online gains tuning is a need…”
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    Conference Proceeding
  9. 9

    Study of bioconvective couple-stress nanofluid flow subject to stratified conditions by using numerical and Levenberg Marquardt back-propagation algorithms by Yuan, Shuai, Cheng, Dapeng

    ISSN: 0735-1933
    Published: Elsevier Ltd 01.05.2025
    “… The artificial neural network (ANN) based on the LMBP (Levenberg Marquardt Back-propagation) algorithm is employed to solve…”
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    Journal Article
  10. 10

    Design an electronic system use the audio fingerprint to access virtual classroom using Artificial Neural Networks by Hammad, Mahgoub H., Mohammed, Alsadig, Eldow, Moawia E.

    Published: IEEE 01.04.2015
    “… of the tests and assignments and participate in the forums and discussions. They deceive the subject teacher…”
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    Conference Proceeding
  11. 11

    Analysis of Doppler signals of radial artery for diagnosis of rheumatoid arthritis by Özkan, Ali Osman, Kara, Sadik, Salli, Ali, Güneş, Salih

    ISBN: 1424463807, 9781424463800
    Published: IEEE 01.04.2010
    “…In this study, Doppler signals received from the radial artery of the right hands of the 40 healthy subjects and 40 patients with rheumatoid arthritis were recorded…”
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    Conference Proceeding
  12. 12

    New approach for the diagnosis of extractions with neural network machine learning by Jung, Seok-Ki, Kim, Tae-Woo

    ISSN: 0889-5406, 1097-6752, 1097-6752
    Published: United States Elsevier Inc 01.01.2016
    “… Output data consisted of 3 bits to divide the extraction patterns. Four neural network machine learning models for the diagnosis of extractions were constructed using a back-propagation algorithm and were evaluated…”
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    Journal Article
  13. 13

    Artificial intelligence without restriction surpassing human intelligence with probability one: Theoretical insight into secrets of the brain with AI twins of the brain by Huang, Guang-Bin, Westover, M. Brandon, Tan, Eng-King, Wang, Haibo, Cui, Dongshun, Ma, Wei-Ying, Wang, Tiantong, He, Qi, Wei, Haikun, Wang, Ning, Tian, Qiyuan, Lam, Kwok-Yan, Yao, Xin, Wong, Tien Yin

    ISSN: 0925-2312, 1872-8286, 1872-8286
    Published: Netherlands Elsevier B.V 28.02.2025
    Published in Neurocomputing (Amsterdam) (28.02.2025)
    “…Artificial Intelligence (AI) has apparently become one of the most important techniques discovered by humans in history while the human brain is widely…”
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    Journal Article
  14. 14

    Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties by Yang, Xiong, He, Haibo, Wei, Qinglai, Luo, Biao

    ISSN: 0020-0255, 1872-6291
    Published: Elsevier Inc 01.10.2018
    Published in Information sciences (01.10.2018)
    “…This paper proposes a novel robust adaptive control strategy for partially unknown continuous-time nonlinear systems subject to unmatched uncertainties…”
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  15. 15

    An artificial neural network to predict resting energy expenditure in obesity by Disse, Emmanuel, Ledoux, Séverine, Bétry, Cécile, Caussy, Cyrielle, Maitrepierre, Christine, Coupaye, Muriel, Laville, Martine, Simon, Chantal

    ISSN: 0261-5614, 1532-1983, 1532-1983
    Published: England Elsevier Ltd 01.10.2018
    Published in Clinical nutrition (Edinburgh, Scotland) (01.10.2018)
    “… A Multi-Layer Perceptron (MLP) feed-forward neural network with a back propagation algorithm was created and cross-validated in a cohort of 565 obese subjects (BMI within 30–50 kg m−2…”
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  16. 16

    Artificial neural networks analysis of surface-enhanced laser desorption/ionization mass spectra of serum protein pattern distinguishes colorectal cancer from healthy population by Chen, Yi-ding, Zheng, Shu, Yu, Jie-kai, Hu, Xun

    ISSN: 1078-0432
    Published: United States 15.12.2004
    Published in Clinical cancer research (15.12.2004)
    “… 3.0. Using a multilayer artificial neural network with a back propagation algorithm, we developed a classifier for separating the colorectal cancer groups…”
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  17. 17

    Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network by Naidu, S. M. M., Pandey, Prem C., Bagal, Uttam R., Hardas, Suhas P.

    ISSN: 0140-0118, 1741-0444, 1741-0444
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2018
    “… A three-layer feed-forward ANN with error back-propagation algorithm is optimized by examining the effects of number of neurons in the hidden layer, activation function, training algorithm, and set of input parameters…”
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  18. 18

    Fuzzy EMG classification for prosthesis control by Chan, F.H.Y., Yong-Sheng Yang, Lam, F.K., Yuan-Ting Zhang, Parker, P.A.

    ISSN: 1063-6528
    Published: United States IEEE 01.09.2000
    “…Proposes a fuzzy approach to classify single-site electromyograph (EMG) signals for multifunctional prosthesis control. While the classification problem is the…”
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  19. 19

    Machine learning assisted wrinkling design of hierarchical thin sheets by Qiu, Xinghan, Yin, Yue, Zhang, Jiawei, Wang, Haotian, Tan, Huifeng, Liu, Yuanpeng, Wang, Changguo

    ISSN: 0927-0256, 1879-0801
    Published: Elsevier B.V 01.10.2022
    Published in Computational materials science (01.10.2022)
    “… Here, we propose a data-driven framework for wrinkling design by trained back-propagation algorithm with a database of one hundred hierarchical thin sheets structures from finite element analysis…”
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  20. 20

    Predicting the spatial distribution of soil profile in Adapazari/Turkey by artificial neural networks using CPT data by Arel, Ersin

    ISSN: 0098-3004, 1873-7803
    Published: Elsevier Ltd 01.06.2012
    Published in Computers & geosciences (01.06.2012)
    “… An attempt has been made to develop the ANN model using multilayer perceptrons trained with a feed-forward back-propagation algorithm…”
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