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5 találatból megjelenítve: 1-5
Cím: Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation
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Dátum: 2022
Feltöltve: 2022-04-11
(Frontiers Media S.A., 2022)
Predicting evaporation is essential for managing water resources in basins. Improvement of the prediction accuracy is essential to identify adequate inputs on evaporation. In this study, artificial neural network (ANN) is ...
Cím: Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature
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Dátum: 2022
Feltöltve: 2022-04-11
(Taylor and Francis Ltd., 2022)
The machine learning method of Adaptive Neuro-Fuzzy Inference System (ANFIS) is proposed as a data-driven technique to model the dew point temperature (DPT). The input patterns, of T min, T max, and T mean, are utilized ...
Cím: A Recommendation System Based on AI for Storing Block Data in the Electronic Health Repository
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Dátum: 2022
Feltöltve: 2022-04-11
(Frontiers Media S.A., 2022)
The proliferation of wearable sensors that record physiological signals has resulted in an exponential growth of data on digital health. To select the appropriate repository for the increasing amount of collected data, ...
Cím: Modeling the Price of Emergency Power Transmission Lines in the Reserve Market Due to the Influence of Renewable Energies
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Dátum: 2022
Feltöltve: 2022-04-11
(Frontiers Media S.A., 2022)
The law of free access to the transmission network obliges the transmission network to be in orbit, and on the other hand, the high loads in the transmission network, and economic uncertainties cause that the owners of ...
Cím: Optimized Type-2 Fuzzy Frequency Control for Multi-Area Power Systems
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Dátum: 2022
Feltöltve: 2023-04-05
(2022)
The objective of this study is minimizing the frequency deviation due to the load variations and fluctuations of renewable energy resources. In this paper, a new type-2 fuzzy control (T2FLC) approach is presented for load ...