The Model of Neural Networks and Its Efficiency Enhancement in Intelligent Monitoring
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Graphical Abstract
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Abstract
The advantages of BP model in artifical Neural networks during intelligent monitoring and controlling was discussed, the probles which shoulds be considesed in diagnosing machining status were mentioned furthremore. Status identirication with sequential search techniques and operational feature optimization with most effeciency principle were presented by authors on the purpose of raising the effeciency of the calculation.
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