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Search results for: neural network
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Year: 2017, Volume: 17, Number: 3
... a considered an advantage. This allows for operating above wavelet-neural-network of IPMSM drives was designed the rated speed at ... . Uddin, M.A. Rahman, "A Novel Wavelet-Neural- 29 – Dec. 2, 2001, ... . 2, pp. 1475 – 1482. Network-Based Robust Controller for IPM Motor Drives," IEEE doi ...
Year: 2008, Volume: 8, Issue: 2
... Computer Engineering Volume 8, Number 2, 2008 Training Neural Networks Using Input Data Characteristics Cosmin CERNĂZANU "Politehnica ... University of Timişoara Vasile Pârvan St., No. 2, Timişoara cosmin.cernazanu@ac.upt.ro Abstract — Feature selection ... algorithm. The aim speed for a feedforward multilayer neural network. These of this paper consists in trying to ...
Year: 2012, Volume: 12, Number: 4
... a real breakthrough in the sphere of nervous system artificial neural network, where non-normalized (absolute) modeling. ... is made that application of two hierarchical (PH) networks [2-5] that possess good training methods with ... Volume 12, Number 4, 2012 Method of Parallel-Hierarchical Network Self- Training and its Application for Pattern Classification ...
Year: 2018, Volume: 18, Number: 4
... . Yet other approaches have been suggested that create a neural network algorithm to achieve high-accuracy fire and rule-based algorithm ... generative complicated task for those algorithms to achieve high adversarial networks. Experimental results show that the accuracy in detecting ... and smoke from natural images. proposed approach achieves high accuracy and a high Another approach is using deep learning ...
Year: 2019, Volume: 19, Number: 3
... Volume 19, Number 3, 2019 Modeling of Back-Propagation Neural Network Based State-of-Charge Estimation for Lithium- Ion Batteries ... , neural estimate the SOC value according to the corresponding networks. relationship between the open circuit voltage/resistance ... SOC. These two methods are rarely applied in practice due I. INTRODUCTION to the long time spent in ...
Year: 2012, Volume: 12, Number: 3
... Engineering Volume 12, Number 3, 2012 State-Space GMDH Neural Networks for Actuator Robust Fault Diagnosis Marcin MRUGALSKI, ... WITCZAK Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona ... Method of systems [29]. Data Handling neural network in the state-space The most desirable feature of the ...
77. A Method Based on Lorenz Disturbance and Variational Mode Decomposition for Wind Speed Prediction
Year: 2019, Volume: 19, Number: 2
... years. The methods are roughly divided combined with four neural networks, this paper develops a into three types ... the physical method, the statistical method wind speed prediction method based on Lorenz system and and the artificial intelligence ... 1) As for wind speed prediction, Elman neural network has higher prediction accuracy and information such as terrain ...
Year: 2010, Volume: 10, Issue: 3
... is aimed to track the aging trend a new MLP neural network approach is introduced. The of the incipient ... Terms — bearing damage, vibration analysis, MLP neural networks, feature extraction, condition monitoring II. STATISTICAL ... Statistical parameters are easily extracted in time domain I. INTRODUCTION and define the average properties of machinery data. ...
Year: 2011, Volume: 11, Number: 3
... Engineering Volume 11, Number 3, 2011 Fault Tolerant Neural Network for ECG Signal Classification Systems Mostefa MERAH1, ... modification of Index Terms — Fault tolerant, artificial neural networks, hybrid backpropagation algorithms, medical diagnosis. the ... weight magnitudes by adding a noise in the input of the first hidden layer (which tends to reduce the ...
Year: 2019, Volume: 19, Number: 4
... Engineering Volume 19, Number 4, 2019 Hybrid Artificial Neural Network by Using Differential Search Algorithm for Solving Power ... order to use numerical methods, it is required neural networks, optimization, power system analysis to determine and ... an initial point for considered computing. solution set which needs to be close to global minimum point due to ...
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