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中文摘要：
在这份报纸，我们为一个用途系统的蒸气汽轮机开发了一个混合模型，它把一个改进神经网络模型与热力学的模型相结合。然后，蒸气汽轮机网络的一个非线性的编程(NLP ) 模型被利用发达蒸气汽轮机模型为整个蒸气汽轮机网络最小化全部的蒸气费用提出。最后，这个模型被使用优化乙烯植物的蒸气汽轮机网络。获得的结果证明这个混合模型罐头精确地估计汽轮机，和重要费用积蓄能被以没有大写的成本优化蒸气汽轮机网络操作做并且评估蒸气的表演。
英文摘要：
In this paper,we developed a hybrid model for the steam turbines of a utility system,which combines an improved neural network model with the thermodynamic model.Then,a nonlinear programming（NLP） model of the steam turbine network is formulated by utilizing the developed steam turbine models to minimize the total steam cost for the whole steam turbine network.Finally,this model is applied to optimize the steam turbine network of an ethylene plant.The obtained results demonstrate that this hybrid model can accurately estimate and evaluate the performance of steam turbines,and the significant cost savings can be made by optimizing the steam turbine network operation at no capital cost.
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