首页|New Findings Reported from Wuhan University of Technology Describe Advances in Machine Learning (Prediction of Net Mouth Area for Trawlers Based On Sea Trials and Machine Learning)
New Findings Reported from Wuhan University of Technology Describe Advances in Machine Learning (Prediction of Net Mouth Area for Trawlers Based On Sea Trials and Machine Learning)
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NETL
NSTL
Elsevier
Current study results on Machine Learning have been published. According to news reporting originating in Hubei, People’s Republic of China, by NewsRx journalists, research stated, “The study investigates fishing gear parameters through sea trials to optimize fishing efficiency of trawlers. We utilized the self-invented ‘winch retracting device with an abnormality judgment function’ to measure the warp length, while employing ‘a wireless trawl monitoring system’ to measure the horizontal and vertical expansion of the net mouth.” Funders for this research include The “Pioneer” and “Leading Goose” R&D Program of Zhejiang, National Natural Science Foundation of China (NSFC), Natural Science Foundation of Hubei Province. The news reporters obtained a quote from the research from the Wuhan University of Technology, “Based on the sea trial data, a polynomial regression model is used to propose an empirical formula applicable to trawlers establishing a comprehensive relationship between the net mouth area, warp length, 48 and towing speed. In the simulation experiments, three machine learning algorithms are effectively tested to predict the net mouth area variations under unknown sea conditions, where the Multilayer Perception (MLP) algorithm demonstrates a robust predictive performance for trawling vessels.”
HubeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningWuhan University of Technology
NETL
NSTL
Elsevier
