| 方形分离器的神经网络运行优化 |
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| 引用本文： | 王树荣,骆仲泱,廖艳芬. 方形分离器的神经网络运行优化[J]. 浙江大学学报(工学版), 2000, 34(6): 598-602 |
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| 作者姓名： | 王树荣 骆仲泱 廖艳芬 |
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| 作者单位： | 浙江大学原清洁利用与环境教育部重点实验室,浙江杭州 |
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| 基金项目： | 国家自然科学基金资助项目(59476039) |
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| 摘 要： | 介绍了处理方形分离器原始数据的一种新方法，提出了方形分离器基于改进后的ＢＰ算法的神经网络运行优化模型，并借助该模型用相应的优化淮则对方形分离器的运行参数进行了优化，得出了不同入口颗粒浓度下的优化风速，为该方形分离器的运行优化提供了参照依据。
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| 关 键 词： | 方形分离器 人工神经网络 优化 BP算法 流化床 |
| 文章编号： | 1008-973X(2000)06-0598-05 |
| 修稿时间： | 1998-01-13 |
Neural network optimization for square cyclone operation |
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| WANG Shu|rong,LUO Zhong|yang,LIAO Yan|fen,NI Ming|jiang,CEN Ke|fa,. Neural network optimization for square cyclone operation[J]. Journal of Zhejiang University(Engineering Science), 2000, 34(6): 598-602 |
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| Authors: | WANG Shu|rong LUO Zhong|yang LIAO Yan|fen NI Ming|jiang CEN Ke|fa |
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| Abstract: | In order to process massive data obtained in square cyclone operation experiment, an improved BP neural network model was developed for simulation and optimization, where a new algorithm was adopted. The output results in BP neural network were in accordance with experimental data very well. A relative simple criterion was introduced to evaluate the effects of gas velocity and inlet solid concentration on square cyclone operation. During the optimization process, optimal values of inlet gas velocity were obtained at different inlet solid loads, which could be used to guide square cyclone design or operation. |
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| Keywords: | square cyclone artificial neural network optimization |
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