新的模型借助惯性系数，引入了油膜惯性项；同时给出求解含有油膜惯性项的迭代步骤和有限元表达式。

The Reynolds lubrication equation including oil film inertia is developed, in which the inertia coefficient is introduced to investigate the effect of oil film inertia.

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此外，通过遗传算法对模糊神经网络的学习速率和惯性系数等进行了优化，为控制系统实现最优控制提供了有力保证。

In addition, the paper makes use of Genetic Algorithms to optimize learning rates and inertia coefficients of Fuzzy-neural network, which can ensure that the controller achieves optimization control.

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所建立的预测渗透率和惯性系数的ANFIS模型，能够给出具有足够精度的预测结果，这为渗透率和惯性系数的预测开辟新的途径。

Therefore, the ANFIS model provides predictions with high accuracy, which proves to be a new approach for estimation of permeability and inertial coefficient.

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