仿真结果表明，该软件计算结果准确可信，适用于高速、重载电气化铁道牵引供电系统负荷过程仿真。
The simulation results indicate that the calculation results of this software are accurate and believable. This software could be applied to high-speed, heavy-haul electrified railway.
第四章是文章的核心，对所描述的高负荷带放弃的网络模型建立模型并进行模型分析，得到负荷过程的高负荷极限。
The fourth chapter is the core of the article. Described on the network model with abandonment in heavy traffic and analysised the model and gave the approximation of the load process.
无误学习(EL)被认为是被动的，大脑的负荷较小，因为它在学习过程提供了供记忆的正确答案。
Errorless learning (EL) is considered passive, or less taxing on the brain, because it provides the correct answer to be remembered during the learning process.
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