线性与非线性预测方法 linear and nonlinear prediction
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.
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