Data-driven intonation modeling using a neural network and a command response model
نویسندگان
چکیده
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
منابع مشابه
Response surface methodology and artificial neural network modeling of reactive red 33 decolorization by O3/UV in a bubble column reactor
In this work, response surface methodology (RSM) and artificial neural network (ANN) were used to predict the decolorization efficiency of Reactive Red 33 (RR 33) by applying the O3/UV process in a bubble column reactor. The effects of four independent variables including time (20-60 min), superficial gas velocity (0.06-0.18 cm/s), initial concentration of dye (50-150 ppm), and pH (3-11) were i...
متن کامل The Quantification of Uncertainties in Production Prediction Using Integrated Statistical and Neural Network Approaches: An Iranian Gas Field Case Study
Uncertainty in production prediction has been subject to numerous investigations. Geological and reservoir engineering data comprise a huge number of data entries to the simulation models. Thus, uncertainty of these data can largely affect the reliability of the simulation model. Due to these reasons, it is worthy to present the desired quantity with a probability distribution instead of a sing...
متن کاملSynthesis of nickel ferrite nanoparticles as an efficient magnetic sorbent for removal of an azo-dye: Response surface methodology and neural network modeling
In this research, nickel ferrite (NiFe2O4) nanoparticles (NFNs) are prepared through coprecipitation method, and applied for adsorption removal of a model organic pollutant, methyl orange (MO). The characterization of t...
متن کاملDistillation Column Identification Using Artificial Neural Network
 Abstract: In this paper, Artificial Neural Network (ANN) was used for modeling the nonlinear structure of a debutanizer column in a refinery gas process plant. The actual input-output data of the system were measured in order to be used for system identification based on root mean square error (RMSE) minimization approach. It was shown that the designed recurrent neural network is able to pr...
متن کاملDevelopment of An Artificial Neural Network Model for Asphalt Pavement Deterioration Using LTPP Data
Deterioration models are important and essential part of any Pavement Management System (PMS). These models are used to predict future pavement situation based on existence condition, parameters causing deterioration and implications of various maintenance and rehabilitation policies on pavement. The majority of these models are based on roughness which is one of the most important indices in p...
متن کاملApplication of multilayer perceptron neural network and support vector machine for modeling the hydrodynamic behavior of permeable breakwaters with porous core
In this research, the application of multilayer perceptron (MLP) neural networks and support vector machine (SVM) for modeling the hydrodynamic behavior of Permeable Breakwaters with Porous Core has been investigated. For this purpose, experimental data have been used on the physical model to relate the reflection and transition coefficients of incident waves as the output parameters to the wid...
متن کامل