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Published in 2017 at "Agricultural Water Management"
DOI: 10.1016/j.agwat.2017.08.003
Abstract: Abstract Accurate estimation of reference evapotranspiration (ET 0 ) is of importance for regional water resource management. The present study proposed two artificial intelligence models, random forests (RF) and generalized regression neural networks (GRNN), for…
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Keywords:
regression neural;
neural networks;
random forests;
generalized regression ... See more keywords
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Published in 2019 at "Royal Society Open Science"
DOI: 10.1098/rsos.190485
Abstract: Investigations were initiated to develop terahertz (THz) techniques associated with machine learning methods of generalized regression neural network (GRNN) and back-propagation neural network (BPNN) to rapidly measure benzoic acid (BA) content in wheat flour. The…
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Keywords:
neural network;
generalized regression;
wheat flour;
spectroscopy ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3140377
Abstract: Time series forecasting plays a key role in many fields such as business, energy or environment. Traditionally, statistical or machine learning models for time series forecasting are trained with the historical values of the series…
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Keywords:
generalized regression;
time series;
regression neural;
series ... See more keywords
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Published in 2021 at "International Journal of Distributed Sensor Networks"
DOI: 10.1177/15501477211053997
Abstract: Location awareness is the key to success to many location-based services applications such as indoor navigation, elderly tracking, emergency management, and so on. Trilateration-based localization using received signal strength measurements is widely used in wireless…
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Keywords:
generalized regression;
trilateration;
centroid;
localization ... See more keywords
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Published in 2022 at "Journal of Engineered Fibers and Fabrics"
DOI: 10.1177/15589250221093019
Abstract: Unevenness is one of the important parameters for evaluating yarn quality, but the current prediction accuracy of yarn unevenness is low. One of the important reasons is that there are few sample dataset for yarn…
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Keywords:
neural network;
optimization;
regression neural;
generalized regression ... See more keywords
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Published in 2022 at "Polymers"
DOI: 10.3390/polym14040653
Abstract: In this study, a new generalized regression neural network model for predicting the curing characteristics of rubber blends with different contents of carbon black filler cured at various temperatures is proposed for the first time…
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Keywords:
neural network;
carbon black;
regression neural;
generalized regression ... See more keywords