| 用神经网络和随机复合形搜索实施在线优化 |
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| 引用本文： | 何小其,麻红昭,胡上序,隋保友.用神经网络和随机复合形搜索实施在线优化[J].化工自动化及仪表,2002,29(4):24-28. |
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| 作者姓名： | 何小其 麻红昭 胡上序 隋保友 |
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| 作者单位： | 1. 浙江大学,材料化工学院,浙江,杭州,310027
2. 齐鲁石化公司,设计院,山东,淄博,255400 |
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| 摘 要： | 提出一种基于神经网络和随机复合形法搜索的在线稳态优化方法，并对某厂气体分馏装置的生产过程的优化问题进行测试，得出优化操作条件。
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| 关 键 词： | 神经网络 随机复合形 在线优化 炼油 气体分馏装置 |
| 文章编号： | 1000-3932(2002)(04)-0024-04 |
| 修稿时间： | 2002年5月15日 |
Online Optimization Based on Neural Networks and Randomized Complex Polyhedral Search |
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| HE Xiao-qi ,MA Hong-zhao ,HU Shang-xu ,SUI Bao-you.Online Optimization Based on Neural Networks and Randomized Complex Polyhedral Search[J].Control and Instruments In Chemical Industry,2002,29(4):24-28. |
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| Authors: | HE Xiao-qi MA Hong-zhao HU Shang-xu SUI Bao-you |
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| Affiliation: | HE Xiao-qi 1,MA Hong-zhao 1,HU Shang-xu 1,SUI Bao-you 2 |
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| Abstract: | An online optimization method based on neural networks and randomized complex polyhedral search method was proposed.The neural networks provided the nonlinear mapping of theoretical model regarding the dependent variables versus the independent variables of gas fractionation plant.The complex polyhedral search method was modified by a random parameter to improve its efficiency in convergence.The proposed method can be used to find the steady-state optimal operating condition for a chemical plant.Satisfactory results were obtained. |
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| Keywords: | online optimization neural network complex method |
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