以神经网络为基本工具，利用其强大的非线性映射能力，并结合有限元法动力分析成果，为预测在复合射孔条件下岩层裂缝扩展深度提供了一条新的途径。
By using ANN and its powerful nonlinear mapping ability and combining production of FEM dynamic analysis, a new way to predicting terrane crack depth of complex fire hole is offered.
预测结果表明线性和非线性基团贡献法的预测效果都很好，相比而言，非线性方法对生物降解性的预测更准确。
However, nonlinear group contribution method can provide a superior fit to biodegradation and produce a lower prediction error than the linear group contribution method.
在确定卫星姿态确定的状态估计法中，经典的扩展卡尔曼滤波(ekf)和新提出的非线性预测滤波(NPF)这两种实时滤波算法各有优缺点。
In state estimation of satellite attitude determination, both traditional extended Kalman filter (EKF) and the proposed nonlinear predictive filter (NPF) have their own merits and defects.
提出了一种基于有限体积法预测非线性边界条件下多层多孔介质内的传热传湿过程的数值分析方法。
A numerical approach based on finite volume method is proposed to study the procedure of coupled heat and moisture transfer in multilayered porous media under nonlinear boundary conditions.
对复杂的、非线性信息处理有其独特的优势。在预测胎儿体重这一领域，人工神经网络的方法比传统的回归分析法有着更大的优势。
With the excellence in complex and non-linear information processing, artificial neural network is fitter for the forecasting of fetal weight than traditional regression methods.
对复杂的、非线性信息处理有其独特的优势。在预测胎儿体重这一领域，人工神经网络的方法比传统的回归分析法有着更大的优势。
With the excellence in complex and non-linear information processing, artificial neural network is fitter for the forecasting of fetal weight than traditional regression methods.
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