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Found 7 papers, 0 papers with code
Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature
Whilst the ANFIS model is extremely stable for almost all numbers of membership functions, the BNN model is highly sensitive to this scale factor to predict DPT.
Application of ERA5 and MENA simulations to predict offshore wind energy potential
In this regard, EC-EARTH near surface wind outputs obtained from CORDEX-MENA simulations are used for historical and future projection of the energy.
Modeling Climate Change Impact on Wind Power Resources Using Adaptive Neuro-Fuzzy Inference System
The near-surface wind data obtained from a regional climate model are employed to investigate climate change impacts on the wind power resources in the Caspian Sea.
Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants
This method can anticipate the flow characteristics in the reactor using almost 30 % of the whole data in the domain.
Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning
So, drag, lift, and side forces and also minimum and a maximum of pressure coefficients for mentioned wind directions and velocity are predicted and compared using statistical parameters.
Flood Prediction Using Machine Learning Models: Literature Review
Floods are among the most destructive natural disasters, which are highly complex to model.
Sensitivity study of ANFIS model parameters to predict the pressure gradient with combined input and outputs hydrodynamics parameters in the bubble column reactor
This new process of mapping inputs and outputs data provides a framework to fully understand the flow in the fluid domain in a short time of fuzzy structure calculation.
