Suchergebnisse - "back-propagation algorithm"

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 von Zain Al-Thalabi, Sahera Hussein, Heydari, Ali Akbar, Tavakoli, Masoud

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

“… 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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Electroencephalographic based hearing identification using back-propagation algorithm von Sudirman, R, Seow, S C

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

“… ). Doppler femoral artery signals belong to occlusion patient and healthy subjects were recorded …”
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Over-The-Air Calibration of A Phase Shifter Network von Zhang, Wei, Jiang, Yi

“… In practice, the phase shifters may be subject to phase deviations, which needs to be properly estimated and calibrated …”
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Utilization of artificial neural networks and autoregressive modeling in diagnosing mitral valve stenosis von Kara, Sadık, Güven, Ayşegül, Okandan, Mustafa, Dirgenali, Fatma

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

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

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

“… The artificial neural network (ANN) based on the LMBP (Levenberg Marquardt Back-propagation) algorithm is employed to solve …”
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Design an electronic system use the audio fingerprint to access virtual classroom using Artificial Neural Networks von Hammad, Mahgoub H., Mohammed, Alsadig, Eldow, Moawia E.

“… of the tests and assignments and participate in the forums and discussions. They deceive the subject teacher …”
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Analysis of Doppler signals of radial artery for diagnosis of rheumatoid arthritis von Özkan, Ali Osman, Kara, Sadik, Salli, Ali, Güneş, Salih

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

“… 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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Artificial intelligence without restriction surpassing human intelligence with probability one: Theoretical insight into secrets of the brain with AI twins of the brain von 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

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

“… This paper proposes a novel robust adaptive control strategy for partially unknown continuous-time nonlinear systems subject to unmatched uncertainties …”
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An artificial neural network to predict resting energy expenditure in obesity von Disse, Emmanuel, Ledoux, Séverine, Bétry, Cécile, Caussy, Cyrielle, Maitrepierre, Christine, Coupaye, Muriel, Laville, Martine, Simon, Chantal

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

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

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

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

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

“… 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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