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>Study Findings from Air Force Engineering University Broaden Understanding of Artificial Neural Networks (Real-time Prediction of Characteristic Parameters of Inductively Coupled Plasma Based On Artificial Neural Network)
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Study Findings from Air Force Engineering University Broaden Understanding of Artificial Neural Networks (Real-time Prediction of Characteristic Parameters of Inductively Coupled Plasma Based On Artificial Neural Network)
By a News Reporter-Staff News Editor at Network Daily News – Currentstudy results on Artificial Neural Networks have been published. According to news reporting from Xi’an,People’s Republic of China, by NewsRx journalists, research stated, “Artificial neural networks (ANNs)were implemented to predict the plasma parameter distribution to actively control the plasma absorptionfrequency band. Taking the inductively coupled plasma (ICP) fluid dynamics simulation results as the initialdata, the general regression neural network (GRNN) is introduced to predict the plasma characteristicparameters under any external conditions.”
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