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Search results for: neural network
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Year: 2019, Volume: 19, Number: 2
... of the methodology in the case study disturbances," Neural Comput. Appl., vol. 28, ... real time with rotating handheld devices," Wirel. Networks, vol. 24, no. 1, ... search space is compliant with valid fundamental approach for distribution network fault diagnosis," Int. J. Electr ...
92. 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: 2019, Volume: 19, Number: 1
... as follows. The voltage and current coming from fuzzy logic, linear regression and neural sampling frequency is the same as that of the reference network based methods [ ... ] that best track the MPP. An voltage updating procedure. Secondly, the use of a fixed advantage is the possibility to reach the set point very fast ...
Year: 2019, Volume: 19, Number: 1
... Vision Computing, vol. 24, no. 6, International Joint Conference on Neural Networks (IJCNN), pp. pp. 605-614, 2006. doi ... later proposed an abstract extraction of facial features from LBP features through a Deep Belief Networks (DBNs) followed by the classification with the Softmax classifier. Though their ...
Year: 2019, Volume: 19, Number: 1
... . 59-69, 2016. doi:10.1016/j.cviu.2015.11.011 neural network," in Signal Processing and Information Technology ... feature," in Research in Computational Intelligence and Communication Networks, 2017 IEEE Third International Conference features. The ... 59-69, 2016. doi:10.1016/j.cviu.2015.11.011 neural network," in Signal Processing and Information Technology, ...
Year: 2019, Volume: 19, Number: 1
... model of an computerized vision-based approach generally works well artificial neural network (ANN) with input hidden weights under ... gyroscope, and hydrocarbon 97% [19] magnetometer networks (AHN) placed in the right front pockets ... people for the specified 6 bayesian decision Tunçel et al. activities. A total of 24 participants performed six ...
Year: 2019, Volume: 19, Number: 1
... . Gonzalez, D. J. Molinares, "ERNEAD: training of artificial neural networks based on FPA-P, and for 6 problems by PSO-C and PSO-P; ... genetic algorithm and finite automata theory", International Journal- for the other problems the results were improved by of Artificial Intelligence, vol. 16, no. ...
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: 2018, Volume: 18, Number: 4
... power losses exist at generation, transmission and on Artificial Neural Networks (ANN) and GA is proposed distribution ... sizing and location order to improve power quality in distribution networks. The is made on the basis of power ... Photovoltaic Systems Placement, Sizing on Power Quality in Distribution Network Armend YMERI, Saša MUJOVIC Univerisity of Montenegro, ...
Year: 2018, Volume: 18, Number: 4
... Due to the low-cost of installation the usage of artificial neural networks (ANNs) to forecast the excitation current ... SM, and then they investigated the Digital Object Identifier 10.4316/AECE.2018.04009 75 1582-7445© 2018 AECE Advances in ... neural synchronous motor for power factor correction," International network using harmony search algorithm," International Journal of ...
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