In this paper, a deterministic linear economic system control model based on dynamic input-output theory is studied.
研究基于动态投入产出理论的确定性线性经济系统控制模型。
A deterministic linear economic system control model based on dynamic input-output theory is derived.
文中基于动态投入产出理论导出了确定型线性经济系统控制模型。
A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network.
结合贝叶斯网络和神经网络，提出了一种建立数据驱动型的动态线性回归系统模型的方法。
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。
The real optimal solution of nonlinear discrete dynamic system can be obtained from piecewise linear model with model reality differences by iterative solution.
在存在模型-实际差异的情况下，从分时段线性化多模型出发通过迭代运算可得到实际非线性离散动态系统的真实最优解。
The characteristics and the dynamic responses of seven types of central regulation model were simulated and analyzed based on a developed non-linear dynamic model in a direct district heating system.
通过建立直接连接区域供热系统非线性动态数学模型，模拟和分析供热系统特征及七种集中调节模式系统动态响应。
Based on dynamic equation of multi-freedom linear system, model analysis and dynamic modification for rotary compressor QX-222 are carried out by finite element method.
本文从多自由度线性系统运动方程出发，利用有限元方法，对滚动转子式制冷压缩机QX- 222型进行了模态分析和动力修改。
A 4d dynamic model has been established for the vehicle suspension system. No-linear random vibration theory is used to discuss how to solve this equation by FPK based on filtered white noise input.
建立了四自由度车辆悬挂系统的动力学模型，并应用非线性随机振动理论，在对模型输入进行过滤白噪声简化的基础上，探讨了用FPK法解方程的可能途径。
A 4d dynamic model has been established for the vehicle suspension system. No-linear random vibration theory is used to discuss how to solve this equation by FPK based on filtered white noise input.
建立了四自由度车辆悬挂系统的动力学模型，并应用非线性随机振动理论，在对模型输入进行过滤白噪声简化的基础上，探讨了用FPK法解方程的可能途径。
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