Application of deep neural network (DNN) for experimental liquid-liquid equilibrium data of water + butyric acid + 5-methyl-2-hexanone ternary systems
Sign Up to like & getrecommendations! Published in 2021 at "Fluid Phase Equilibria"
DOI: 10.1016/j.fluid.2021.113094
Abstract: Abstract LLE data are important for simulation and design of extraction equipment. In this study, deep neural network (DNN) structure was proposed for modelling of the ternary liquid-liquid equilibrium (LLE). LLE data of (water +… read more here.
Keywords: neural network; dnn; liquid liquid; deep neural ... See more keywords
Multi-task deep neural network (MT-DNN) enabled optical performance monitoring from directly detected PDM-QAM signals.
Sign Up to like & getrecommendations! Published in 2019 at "Optics express"
DOI: 10.1364/oe.27.019062
Abstract: We experimentally demonstrate a multi-task deep neutral network (MT-DNN) enabled optical performance monitoring (OPM) for PDM-QPSK/8QAM/16QAM signals, by using the asynchronous amplitude histogram (AAH) after the direct detection. Consequently, we can simultaneously realize the modulation… read more here.
Keywords: dnn; performance; pdm; network dnn ... See more keywords