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中文摘要：
击碎煤气的压缩机通常是一台离心的压缩机。在所有条件下面的一台离心的压缩机的表演的信息不是可得到的，它为压缩机限制操作优化。解决这个问题，二背繁殖(BP ) 神经网络被介绍由使用制造商提供的数据为一台压缩机的性能建模。在另外的条件下面的模型的输入数据应该根据类似理论被改正。方法被用来由把压缩机性能模型嵌进压缩机的 ASPEN 正模型优化一台裂开的煤气的压缩机的系统。结果证明优化压缩机系统是一个有效方法。
英文摘要：
Cracking gas compressor is usually a centrifugal compressor. The information on the performance of a centrifugal compressor under all conditions is not available, which restricts the operation optimization for compressor. To solve this problem, two back propagation （BP） neural networks were introduced to model the performance of a compressor by using the data provided by manufacturer. The input data of the model under other conditions should be corrected according to the similarity theory. The method was used to optimize the system of a cracking gas compressor by embedding the compressor performance model into the ASPEN PLUS model of compressor. The result shows that it is an effective method to optimize the compressor system.
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