Ara
Toplam kayıt 3, listelenen: 1-3
Deep neural network approach to estimation of power production for an organic Rankine cycle system
(Springer, 2020)
In this study, the possibility of using Stepwise multilinear regression and deep learning models to estimate the behaviour of the organic Rankine cycle (ORC) has been investigated. It was found that a number of parameters ...
Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate
(Institute of Electrical and Electronics Engineers Inc., 2021)
Fast replacement models (or surrogates) have been widely applied in the recent years to accelerate simulation-driven design procedures in microwave engineering. The fundamental reason is a considerable-and often prohibitive-CPU ...
Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model With Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization
(Institute of Electrical and Electronics Engineers Inc., 2021)
Surrogate modeling has become an important tool in the design of high-frequency structures. Although full-wave electromagnetic (EM) simulation tools provide an accurate account for the circuit characteristics and performance, ...