Parameter inversion of solute transport inside unsaturated soils was generally solved through a nonlinear operator equation.
非饱和土中溶质迁移参数反演问题可以归结为非线性算子方程的求解问题。
The problem of determining the diffusive coefficients can be formulated as one of solving a special nonlinear operator equation.
对流一扩散方程中扩散系数反演问题，可以归结为一个特殊的非线性算子方程求解问题。
By reducing the MREIT problem to a nonlinear operator equation, the formal derivative of the operator and the formula of solution for linearization problem are given.
通过将问题化为非线性算子方程，推导出算子的形式导数，给出了线性化问题解的等价表达。
All know that most of the optimization of economic system can be converted into conditional extreme value problem which takes nonlinear operator or multi operator as constraints.
许多经济系统中的优化问题，可化为用单值非线性算子或多值算子形成约束条件的条件极值问题。
In this paper, we mainly discuss the fixed point theorems of monotone mappings and the solvability of a class of nonlinear operator equations in partially ordered F-type topological Spaces.
本文主要研究半序f -型拓扑空间中单调映射的不动点定理和一类非线性算子方程的可解性。
Due to the complexity of the nonlinear system, it is classified as five kinds of discrete nonlinear multi-variable system according to nonlinear operator.
鉴于非线性多变量系统的极端复杂性，将离散的非线性多变量系统按非线性算子的不同分为五类。
Based on the class of nonlinear multi-variable system with the nonlinear operator and couple appearing in the input of system, the online decoupling control with NN is studied in this thesis.
本文主要针对非线性算子及耦合均在输入端的一类非线性多变量系统，研究如何采用神经网络实现其在线解耦控制。
A novel neural network model, named delayed standard neural network model (DSNNM), is proposed, which is the interconnection of a linear dynamic system and a bounded static delayed nonlinear operator.
提出一种新的神经网络模型—时滞标准神经网络模型(DSNNM)，它由线性动力学系统和有界静态时滞非线性算子连接而成。
A novel neural network model, named delayed standard neural network model (DSNNM), is proposed, which is the interconnection of a linear dynamic system and a bounded static delayed nonlinear operator.
提出一种新的神经网络模型—时滞标准神经网络模型(DSNNM)，它由线性动力学系统和有界静态时滞非线性算子连接而成。
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