为了产生行波声场和形成高声阻抗，从热声网络的观点建立了系统的简化模型。
To create the traveling-wave phasing and high acoustic impedance, a simplified model of the system is constructed from the view of acoustic network.
同时利用基于MATLAB环境下的径向基函数网络，建立了回热系统故障诊断模型。
Meanwhile, by utilizing a radial base-function network based on a MATLAB environment established was a fault diagnostic model for the regenerative heating system.
从自激振荡的稳定性入手，分别讨论了热声网络的周期时均和时变数学模型。
Based on the stability of self-oscillation of thermoacoustic engine. models of periodic average and time-varied are investigated respectively.
研究了以神经网络（NN）为模型的软件补偿不同机床热误差。
Software based on neural network(NN) to compensate machine tools therm al deformation is studied.
目的探讨反馈人工神经网络模型预测肾综合征出血热发病率的应用前景。
Objective To study the application of back propagation artificial neural network model in prediction for incidence of hemorrhagic fever with renal syndrome.
在换热网络中考虑经济因素和工程质量因素，建立换热网络多级综合模糊评价模型。
In heat exchanger networks, the fuzzy appraisal model of heat exchanger networks is set up considering quality and economic factors.
采用热阻网络法，得出热管散热模组的数学模型。
Theoretical model of heat pipe thermal module was built using thermal resistance network method.
针对以往空间热环境分析模型的不足，在遥感、地理信息系统支持下，创建了基于人工神经网络和遗传算法的城市热环境非线性定量分析模型。
With the support of GIS and RS, efforts were made to develop a quantitative analysis model of urban spatial thermal environment based on genetic algorithms back propagation and genetic algorithms.
文中使用径向基函数理论建立了基于RBF神经网络的数控机床热误差数学模型。
A neural network based on radial basis function (RBF) was used to predict and compensate the thermal error of a CNC turning center.
基于BP神经网络建立了热管式真空管集热器热性能的预测校正模型。
A predictive correction model for thermal characteristics of heat-pipe evacuated tubular solar collector was established based on BP neural network.
结果表明，所建立的网络模型具有优良的性能，能精确预测AZ61 B合金热变形条件下的再结晶晶粒尺寸及流变应力。
The result indicates that models are good enough to exactly predict recrystallization grain size and flow stress of AZ61...
本文给出解析法求换热网络中最大热回收量的数学模型及计算方法。
The Paper gives the mathematic models and method of calculation of the maximum heat recovery in the synthesis of heat exchanger networks.
以铸钢冷却壁的传热为研究对象，根据热态试验结果，提出简化传热关系式，并将其与神经网络技术相结合，形成冷却壁热面温度预测仿真模型。
Heat transfer of cast steel cooling stave is the research object, and simplified heat transfer formula is proposed based on thermal state test results.
实际预测结果表明，基于合成BP网络的预测模型能很好地实现对热电厂热负荷的预测。
The results of actual prediction show that this prediction model based on the synthesized BP network performs very well in the prediction of cogeneration plant thermal loads.
结果表明，热阻网络等效方法具有模型简单、分析快速、准确度高的优点，在系统级热分析中可完全替代详细的物理模型。
Results showed that the thermal resistor network features simple, fast and precise modeling. Therefore, it is replaceable for detailed physical modeling in system level thermal design.
结果表明，热阻网络等效方法具有模型简单、分析快速、准确度高的优点，在系统级热分析中可完全替代详细的物理模型。
Results showed that the thermal resistor network features simple, fast and precise modeling. Therefore, it is replaceable for detailed physical modeling in system level thermal design.
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