以热轧工艺中冶金物理学理论为依据，建立了组织性能预报模型。
The establishment of microstructure and properties forecast model is based on metallurgical physics theory on hot rolling process.
采用神经网络方法建立了重轨生产性能预报模型，并通过模型结构优化提高了模型预报的可靠性。
A mathematic model to predict the mechanical properties of heavy rail steel has been developed by means of neural network according to the demand of production.
有关尼古丁的模型复杂程度较低，过滤嘴的通风性能再次成为最大的预报器，影响比例占到40%，与此同时，烟草重量和过滤嘴长度同样产生重要影响。
Nicotine yielded a less complex model, with ventilation again serving as the largest predictor (40% of variance), with tobacco weight and filter length serving as significant contributors.
这将提高模型试验和性能预报的效率和精度。
That will increase the accuracy and efficiency of the model test and the performance prediction.
在舰船及海洋工程领域里，性能预报是非常重要的，而模型试验是完成这种预报的一种有效方法。
In Marine and Ocean engineering area, the performance prediction is very important, and model test is an efficient method to carry out this prediction.
将人工神经网络理论和算法应用于双辉离子渗碳的研究，在对人工神经网络训练的基础上，建立了双辉离子渗碳工艺与渗层性能预报的数学模型。
On the basis of the training of network, the mathematics model on the relationship between double glow plasma carbonizing and prediction of properties is built.
织机效率和织疵公分数为织机性能和坯布质量预报模型，其原理是通过输入原料指标和工艺参数来预报的。
Loom efficiency and fabric defects are woven quality forecast models, they predict performance of loom and fabric quality based on index of materials and technical parameters.
水下声学模型现今通常用于预报海上试验计划和设计最优声呐系统的声学环境以及预测海上声呐性能。
Underwater acoustic models are now routinely used to forecast acoustic conditions for planning at-sea experiments, designing optimized sonar systems and predicting sonar performance at sea.
结果表明：该模型对于复杂槽型车刀片断屑性能的预报和刀片槽型的优选具有实际应用价值。
Results of the experiments show that the models can be applied to forecast the performance of chip-breaking for turning inserts with complex groove and optimize the groove of inserts.
研究2.5D编织细观结构，分析了其单元体模型，建立了2.5 D编织复合材料弹性性能分析预报模型。
The microstructure of 2.5d braids was studied and their unit cell models analyzed, based on which a model for predicting the elastic properties of 2.5d braided composites was established.
提出了一种基于高精度性能模型的轴流通风机喘振故障预报方法，以实现动(静)叶调节轴流通风机喘振故障的预报。
Forcasting method of surge trouble based on high_accuracy fan performance model is put forward in order to realize surge trouble forecasting of axial fan adjusted with rotary and stationary vanes.
基于该网络的时间序列预测模型可以实现性能优越的非线性预报器，将其应用于非线性系统的故障预报能够取得良好的效果。
The LMBP neural network can predict nonlinear time series very well and the new method is effective for the fault prediction of nonlinear systems.
所构建的粘度软测量模型预报精度较高，趋势跟踪性能良好。
The developed model got high accuracy and good trend tracking performance on the real industrial data.
所构建的粘度软测量模型预报精度较高，趋势跟踪性能良好。
The developed model got high accuracy and good trend tracking performance on the real industrial data.
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