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71. Design of an Adaptive Flux Observer for Sensorless Switched Reluctance Motors Using Lyapunov Theory
Year: 2020, Volume: 20, Number: 2
... signal processor-DS1102 control Recently, the intelligence algorithms as artificial neural board. The simulation and experimental results of the ... (ANN), fuzzy logic have been employed [16-18]. proposed sensorless scheme demonstrate the accurate In ... ," IEEE switch-based switched reluctance motor drive using neural network," Transactions Power Electronics, vol. 34 ...
Year: 2020, Volume: 20, Number: 2
... Computer Engineering Volume 20, Number 2, 2020 Convolutional Neural Network Based Prediction of Conversion from Mild Cognitive Impairment ... neuroimaging modalities that use nuclear Index Terms — artificial neural networks, computer aided medicine injected in patient's body to ... the disease. diagnosis, image analysis, image classification, pattern These procedures are time consuming, expensive and ...
73. Generation of Visual Patterns from BoVW for Image Retrieval using modified Similarity Score Fusion
Year: 2020, Volume: 20, Number: 2
... . This is done by category using VPs, the Neural Network is involved for determining the highest feature vectors ... if fvij  t2 *val fvij (3) Networks provide a solution for non-linear problems and it performs ... learning, i.e. it has the ability to self-learn catc   0, otherwise about a specified task ...
Year: 2020, Volume: 20, Number: 2
... and textural Watershed applied on Euclidean distance map features were used as input to the neural network from the mask for segmentation for segmentation Minervini, Giffrida, Perata Convert ... image to log-polar representation; K-means technique for finding binary mask and and Tsaftaris [19]& patches are extracted, K-means is applied for fed as input to ...
Year: 2020, Volume: 20, Number: 2
... keywords could always not by using Bandelet transformation, artificial neural network, be selected correctly since human perception varied ... "Content and context based image retrieval classification based on firefly-neural network," Multimedia set of properties, in ... doi:10.1109/ACCESS.2016.2548664 image retrieval using embedded neural networks with bandletized [31] J. T. Tsai ...
Year: 2020, Volume: 20, Number: 2
... 307-316, 2018. doi:10.1016/j.asoc.2017.12.026 Proc. IEEE International Conference on Neural Networks, Perth, [21] A. BeÅŸkirli, D. Ã-zdemir ... and H. TemurtaÅŸ, "A comparison of Australia, pp. 1942-1948, 1995, doi:10.1109/ICNN.1995.488968 modified tree – seed algorithm for high-dimensional numerical ...
Year: 2020, Volume: 20, Number: 2
... hourly solar radiation forecasting [10]. The artificial neural network (ANN) is one of the choices ... . F. Yaka, and G. T. networks," (in English), Iet Renewable ... Generation, vol. 5, no. Sardogan, "Determining the best model for estimation the monthly 6 ...
Year: 2020, Volume: 20, Number: 2
... The ARIMA is widely Machine (SVM), Autoregressive Neural Network, LSTM, used because of its simplicity ... a prediction model for the models such as artificial neural networks (ANNs) have been activities of companies [ ... ] using the exponential proposed [10]. The ANNs can be used to predict the next correction, ...
Year: 2020, Volume: 20, Number: 2
... plays an important role in the economic and social artificial neural network (ANN). Ekonomou [10] ... forecast energy demand of Turkey," Energy artificial neural networks," Energy, vol. 35, no ... 2, pp. 512-517, 2010, Conversion and Management, vol. 53, no. 1, ...
Year: 2020, Volume: 20, Number: 1
... detection is an important automatic feature representation, the convolutional neural technique of the navigation system for the visually impaired ... samples are fed to tune parameters in the The three networks are trained by 2238 positive samples 46 Advances in ... and Computer Engineering Volume 20, Number 1, 2020 and 4476 negative samples, which are previously generated in ...
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