结合计算机仿真，可以实现系统的性能预测、控制优化、状态监测与故障诊断。
Combined with computer simulation, this method can be applied to steam turbine performance prediction, optimizing control as well as condition monitoring and fault diagnosis.
通过计算机实验，讨论样本、学习算法和网络结构等对神经网络预测模型性能的影响及其改进措施。
Through computer simulation, samples, BP algorithms and the influence of network structure neurula on model performance have been discussed as well as the improving measures.
本文采用虚拟样机技术，综合利用多种软件，实现试验装置在计算机中的设计—分析—修正设计—仿真运动—预测性能的设计思想，为后续项目做好准备工作。
This paper implemented the methodology of tester design-analysis-amend -forecast in computer by virtual prototype technique and manifold software. Make preparation for the subsequent projects.
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