Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm von Khodnevych, Yaroslav, Korbutiak, Vasyl

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Data arrangements to train an artificial neural network within solving the tasks for calculating the Chézy roughness coefficient under uncertainty of parameters determining the hyd... von Khodnevych, Yaroslav V., Stefanyshyn, Dmytro V.

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Improving the accuracy of modeling the trend and seasonal components in the medium-term forecasting of the consumed electric power from the integrated power system von Martyniuk A., Chernenko P.

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Do we need a more sophisticated multilayer artificial neural network to compute roughness coefficient? von Khodnevych, Yaroslav V., Stefanyshyn, Dmytro V.

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Application of neuro evolution tools in automation of technical control systems von Doroshenko, А.Yu., Achour, I.Z.

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Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid von Sahraoui, H., Mellah, H., Drid, S., Chrifi-Alaoui, L.

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New application of artificial neural network-based direct power control for permanent magnet synchronous generator von Akkouchi, K., Rahmani, L., Lebied, R.

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Neural networks’ learning process acceleration von Katerynych, L., Veres, M.M., Safarov, E.

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Photovoltaic system faults diagnosis using discrete wavelet transform based artificial neural networks von Bengharbi, A. A., Laribi, S., Allaoui, T., Mimouni, A.

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Distributed implementation of neuroevolution of augmenting topologies method von Achour, I.Z., Doroshenko, A.Yu.

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HYBRID APPROACH TO MAXIMUM POWER POINT TRACKING IN PHOTOELECTRIC SYSTEMS von Bosak , A., Bodnaruk , O., Dubovyk , V., Kulakovskyi , L.

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Optimal performance assessment of intelligent controllers used in solar-powered electric vehicle von Kumar, R. S., Reddy, C. S. R., Chandra, B. M.

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INVESTIGATION OF A SENSORLESS WATER SUPPLY SYSTEM FOR EXCESS ENERGY REDISTRI-BUTION FROM WIND TURBINE von Zemlianukhina, H., Burian , S., Pechenik , M., Trotsenko , Ye., Pushkar , M.

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Advanced intelligent control for photovoltaic-vehicle-to-grid integration von Lachheb, A., Chrouta, J., Telmoudi, A. J., Zaafouri, A.

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COMPUTATIONAL EFFICIENCY OF AN ARTIFICIAL NEURAL NETWORK IN OPTIMIZING THE OPERATING CONDITIONS OF PATCH ANTENNAS von Butov, S., Tuz, A., Morozova, O., Vinnichenko, S., Khardikov, O., Shulga, S.

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APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR PREDICTING THE THERMAL STATE OF AN AIR-SOIL HEAT EXCHANGER von Basok , B., Novitska, M., Zurian , O., Sylniahin , M., Davydenko , D.

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Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach von Parimalasundar, E., Senthil Kumar, R., Chandrika, V. S., Suresh, K.

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Fault diagnosis of power converters in a grid connected photovoltaic system using artificial neural networks von Mimouni, A., Laribi, S., Sebaa, M., Allaoui, T., Bengharbi, A. A.

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Artificial neural network and discrete wavelet transform for inter-turn short circuit and broken rotor bars faults diagnosis under various operating conditions von Rouaibia, R., Djeghader, Y., Moussaoui, L.

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Розробка штучної нейронної мережі для інформаційно-вимірювальної системи контролю геометричних розмірів енергетичного обладнання... von Kacprzyk, Janusz, Zaporozhets, Artur, Kataiev, Denys

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