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。
By multiple prediction method connections, the blocks dynamic analysis process was optimized and the exactly prediction of each development index was completed.
多种预测方法的联解，优化了区块的动态分析过程，准确的完成各项开发指标的预测。
Development of a New Software for the Prediction of Transient Electromagnetic Process Due to Switch Operation in EHV Substation;
为了对高压变电站内因开关操作而产生的空间瞬态电场进行有效的测量 ，研制了一套光纤瞬态电场传感器。
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