【摘要】 建立了摩擦学特性影响规律的径向基神经网络模型,可以较准确地计算和预测不同摩擦学系统条件下摩擦系数与各影响参数之间的关系;进一步基于神经网络建立了不同系统之间的泛函数关系,基本解决了摩擦学系统的条件转化,为摩擦学设计、程序化计算和分析提供了一种方便有效的工具。更多还原

【Abstract】 The model of radial basis function neural network used in the calculation of tribo- characteristics was established, which can be used to compute and to foresee the relationships between friction coefficients and related parameters correctly .Moreover ,the functionals based on this neural network were established to reveal the connection between different tribology systems . The network can be used as an efficient tool or method in tribology design and programming calculation and the method of neural network functional can realize the conditional transform of different tribology systems.更多还原