Quantum recurrent encoder–decoder neural network for performance trend prediction of rotating machinery

Traditional neural networks generally neglect the primary and secondary relationships of input information and process the information indiscriminately, which leads to their bad nonlinear approximation capacity and low generalization ability. As a result, traditional neural networks always show poor...

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