Relevant data including the data about base knowledge, experiments and properties prediction are collected and processed according to the design program.
根据设计方案进行了相关资料(包括基本知识资料、实验资料、性能预测资料)的收集与加工。
参考来源 - 纳米材料数据库系统的研制与开发·2,447,543篇论文数据，部分数据来源于NoteExpress
The model is proved to be reliable and accurate and can be used as an accurate method for various kinds of refrigerants properties prediction.
文中验证了这种预测方法的可靠性与准确性，此方法可作为系统循环模拟计算中相平衡及热力参数的精确计算方法。
The new development of application of Artificial Neural Networks on materials properties prediction and process parameters optimization is reviewed. The existing problems are indicated.
综述了人工神经网络在材料性能识别、预测及工艺优化方面应用的新进展，指出了存在的问题。
WANG K, YAN Z F, WANG W X, et al. Temperature evolution and fatigue properties prediction for high cycle fatigue of magnesium alloy[J]. Journal of materials Engineering, 2014, (1):85-89.
[28] 王凯， 闫志峰， 王文先， 等。 循环载荷作用下镁合金温度演化及高周疲劳性能预测[J]。 材料工程，2014，（1）：85-89。
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