| 1. | Identification of concrete thermal parameters based on fuzzy theory
基于模糊理论的混凝土热力学参数识别方法 |
| 2. | Correction of error to measure thermal parameter parastability of rubber material
橡胶材料热参数准稳态测量法的误差校正 |
| 3. | Thermal conductivity is important thermal parameter , symbols the ability of heat exchanging
导热系数是液体的重要热物性参数,其表征流体的热传导能力。 |
| 4. | Test method for determination of fire and thermal parameters of materials using an intermediate scale test with vertically oriented specimen
使用垂直定向样品的中型试验测定材料耐火和耐热参数的试验方法 |
| 5. | Standard test method for determination of fire and thermal parameters of materials using an intermediate scale test with vertically oriented specimen
使用垂直定向样本的中型试验测定材料的耐火和耐热参数的标准试验方法 |
| 6. | 2 . based on artificial neural network , thermal parameter feedback analysis model of rcc dam during construction period has been established
( 2 )基于人工神经网络的方法，建立了碾压混凝土坝施工期热学参数反馈分析模型。 |
| 7. | According to the observation data of rcc dam temperature , the thermal parameters were back calculated , and the results could meet the requirements of the project
反演结果满足工程需要。采用带动量因子的自适应学习率bp算法训练网络，收敛性好。 |
| 8. | The main results , obtained in this dissertation , may be summarized as follows : 1 . the identification problem of thermal parameters in the paleotempture field equation is reported
本文取得的主要结果可概括如下1 、研究古地温度场方程中的一些性能参数的识别问题。 |
| 9. | Aiming at the influence of the problem , the development and current status of power plant thermal parameter soft ? sensing technique in our country are summarized in this paper
针对某些热工参数难以准确在线实时测量的影响，概括和总结了国内火电厂热工变量软测量技术的发展和现状。 |
| 10. | It is feasible that neural network is applied to the feedback analysis of rcc thermal parameters during construction period . 3 . research on the crack control measures of rcc dam in the view of structure
采用神经网络进行碾压混凝土坝施工期热学参数反馈分析是可行的，为碾压混凝土坝施工期热学参数的反馈分析找到了一条新途径。 |
