此外，研究结果还表明，提高注浆水平能较大程度地减弱支护结构参数。
In addition, the results demonstrate that the higher level grouting can be used to reduce the supporting structure parameters.
设计了预测回采巷道锚杆支护参数的神经网络结构，并根据BP算法编制了软件。
A bolt supporting parameter selection neural network construction has been developed, the software is programmed based on BP algorithm.
本文对该类支架的工作阻力、初撑力、支护高度等主要参数进行了分析计算，并对其主要结构进行了设计。
The main parameters of the hydraulic support, such as working resistance, setting load and support height, are analyzed and its main structures are design.
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