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A Measurement to Confirm the Parameters for A Nonlinear Anti-Vibration Device

机译:一种确认非线性防振装置参数的测量

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摘要

In this paper the numerical simulating and test are carried out to a single degree of freedom adjustive stiffness nonlinear anti-vibration device. While the numerical simulating results become learning samples and the test results become examining samples, the back propagation neural network (BPNN, same as below) is trained and obtained which has the ability of better inner extent and certain extensionality. After setting the efficiency parameters of the nonlinear anti-vibration device, the BPNN will give the value of stiffness and damp corresponding to the anti-vibration device, therefore a measurement for design a nonlinear anti-vibration device is offered.
机译:本文在单一自由度调节刚度非线性防振装置中进行数值模拟和测试。虽然数值模拟结果成为学习样本,并且测试结果成为检查样本,但训练并获得了背部传播神经网络(BPNN,与下面相同),其具有更好的内部范围和某些扩展性的能力。在设置非线性防振装置的效率参数之后,BPNN将提供对应于防振装置的刚度和潮湿的值,因此提供了设计非线性抗振动装置的测量。

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