Výsledky vyhledávání - "Backpropagation algorithm"

Prediction of GPS-TEC on Mw>5 Earthquake Days Using Bayesian Regularization Backpropagation Algorithm Autor Karatay, Secil, Gul, Saide Eda

“…Detection of earthquake precursor signals a few days before the earthquake day is one of the most studied subjects today…”
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5 Earthquake Days Using Bayesian Regularization Backpropagation Algorithm Autor Karatay, Secil, Saide Eda Gul

“…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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Distributed Optimization of Multiuser MIMO Relay Network Using Backpropagation Algorithm Autor Wang, Rui, Jiang, Yi

“…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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INTELLIGENT TECHNOLOGY FOR OPTIMIZING THE PROJECT-BASED APPROACH TO TEACHING STUDENTS USING LEARNING MANAGEMENT SYSTEMS Autor Sokol, Volodymyr, Godlevskyi, Mykhaylo, Bilova, Mariia, Tupkalenko, Roman

“… The core of the recommendation system will be an artificial deep neural network of forward propagation, which takes as input information about the student and the subject that he or she should study…”
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A Distributed MIMO Relay Scheme Inspired by Backpropagation Algorithm Autor 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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The application of the resilent backpropagation algorithm and power spectrum density for recognizing the acoustic emission signals genereted by basic partial discharge forms using artificial neuron networks Autor S. Borucki, T. Boczar, A. Cichoń

“…The subject matter of this paper refers to the correct recognition of the acoustic emission (AE…”
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On the use of neural networks to evaluate groundwater levels in fractured media Autor Lallahem, S., Mania, J., Hani, A., Najjar, Y.

“… Groundwater level simulation in a chalky media is regarded as a difficult subject in hydrogeology due to the complexity of the physical processes involved, the variability of piezometry in space…”
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Automatic recognition of sleep spindles in EEG by using artificial neural networks Autor Acir, Nurettin, Guzeli, Cuneyt

“…In this paper, we introduce a two-stage procedure based on artificial neural networks for the automatic recognition of sleep spindles (SSs) in a multi-channel…”
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A modified backpropagation algorithm for training neural networks on data with error bars Autor Gernoth, Klaus A., Clark, John W.

“… Specifically, we consider the case that the artificial neural system is required to learn a physical mapping when the available target values for the output variable are subject to experimental…”
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The Roll of Artificial Intelligence in Teaching Pedagogy: Challenges and Prospects for Sustainable Growth in Education Autor Gomathi, R D, Maheswaran, S, Sathesh, S, Murugesan, G, Duraisamy, Prakash, Nandita, S, Karthik, R P

“… (packaged to use with computers) comes up with different subjects…”
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Data-Driven Approach to Predict Spot Market Price in Indian Electricity Autor M. P., Subeekrishna, R. R., Lekshmi

“… The electricity market is subject to several constraints imposed by the inherent nature of energy, which necessitates perpetual parity between consumption and production on a continental scale…”
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Analysis of international debt problem using artificial neural networks and statistical methods Autor Yazici, Berna, Memmedli, Memmedaga, Aslanargun, Atilla, Asma, Senay

“…’ international debts is taken into account. Among the statistical methods, logistic and probit regression, and the different neural network backpropagation algorithms are applied and comparisons are made…”
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Evolutionary training of hardware realizable multilayer perceptrons Autor Plagianakos, V. P., Magoulas, G. D., Vrahatis, M. N.

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Using Convolutional Neural Networks to Discover Cogntively Validated Features for Gender Classification Autor Verma, Ankit, Vig, Lovekesh

“…". While the subject of face detection and recognition has received a lot of focus, research into the features or cognitive processes that are useful for identifying gender have received relatively little attention…”
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An Integrated Deep Learning-Based Data Fusion and Degradation Modeling Method for Improving Prognostics Autor Wang, Di, Liu, Kaibo

“…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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Learning Online MEMS Calibration with Time-Varying and Memory-Efficient Gaussian Neural Topologies Autor Pau, Danilo Pietro, Tognocchi, Simone, Marcon, Marco

“… The real-time sensor data are subject to errors, such as time-varying bias and thermal stress…”
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Comparing Imperialist Competitive Algorithm With Backpropagation Algorithms For Training Feedforward Neural Network Autor Zanganeh, Maryam, Mirabedini, Seyed Javad

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Modern synergetic neural network for imbalanced small data classification Autor Wang, Zihao, Li, Haifeng, Ma, Lin

“… Synergetic neural network (SNN), a synergetic-based recurrent neural network, has superiorities in eliminating recall errors and pseudo memories, but is subject to frequent association errors…”
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A fuzzy clustering neural network architecture for classification of ECG arrhythmias Autor Özbay, Yüksel, Ceylan, Rahime, Karlik, Bekir

“…Accurate and computationally efficient means of classifying electrocardiography (ECG) arrhythmias has been the subject of considerable research effort in recent years…”
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Predicting the serum digoxin concentrations of infants in the neonatal intensive care unit through an artificial neural network Autor Yao, Shu-Hui, Tsai, Hsiang-Te, Lin, Wen-Lin, Chen, Yu-Chieh, Chou, Chiahung, Lin, Hsiang-Wen

“…Background Given its narrow therapeutic range, digoxin’s pharmacokinetic parameters in infants are difficult to predict due to variation in birth weight and…”
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