An arbitrage pricing method for financial products in terms of generalized network model and duality theory of linear program is presented.
运用广义网络流模型和线性规划对偶理论，提出了一种金融产品的套利定价方法。
A theory of respective shift of source is put forth and a method for solving linear network by computer is developed.
这里论述了电源分移原理，并且导出一个求解线性网络的方法，此方法在电子计算机上进行。
According to Tellegen's theorem, the two states of the RLC linear network have been studied, and the orthogonal Kirchhoff modes theory is discussed in this paper.
本文概述了特勒根定理的基本内容，并以此为基础讨论了RL C线性网络的两种工作状态和正交基尔霍夫模式理论。
This paper discusses the application of linear quadratic optimal control theory in network PID control system.
讨论了线性二次型最优控制理论在神经网络PID控制系统中的应用。
This article discusses the excitation and the response of the linear and first order complicated network in detaies, and educes a method to derive its response utilizing correlative theory.
对线性一阶复杂网络的激励与响应进行了全面讨论，并利用有关理论，导出了求其响应的方法。
This paper analyzes the theory and the method in solving the network problem by the mathematics model of linear programming and graph theory.
分析了用线性规划、图论的方法解决网络问题的理论和算法。
By the linear theory in the max-algebra, it presents the block network iterative method which is independent of the dimension of system matrix.
用极大代数意义下的线性系统理论提出了一种与系统矩阵维数无关的，模块网络迭代法。
Based on identifying the time-delay system of HVAC, the paper researches the linear and nonlinear systems identification methods with MATLAB system identification toolbox and neural network theory.
运用MATLAB辨识工具箱和神经网络理论，通过对暖通空调系统中常见的时滞对象的辨识，研究了基于神经网络的线性和非线性的辨识方法。
The least square theory-based static linear decoupling method is studied, and a new static decoupling method based on BP artificial neural network is proposed.
在研究基于最小二乘理论的多维力传感器静态线性解耦方法的同时，提出了一种基于BP神经网络的静态非线性解耦方法。
Based upon the theory of combined forecasting, up-standing identity of BP neural network on approaching non-linear data, put forward a combined forecasting model for civil motors.
文章根据组合预测的理论和BP神经网络对非线性数据良好的逼近特性，提出了基于BP神经网络的灰色预测、多项式回归模型的民用汽车运力组合预测模型。
Based upon the theory of combined forecasting, up-standing identity of BP neural network on approaching non-linear data, put forward a combined forecasting model for civil motors.
文章根据组合预测的理论和BP神经网络对非线性数据良好的逼近特性，提出了基于BP神经网络的灰色预测、多项式回归模型的民用汽车运力组合预测模型。
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