| 基于粒子群算法的软仪表技术 |
| |
| 引用本文： | 蔡羿.基于粒子群算法的软仪表技术[J].广州化工,2009,37(2):40-42. |
| |
| 作者姓名： | 蔡羿 |
| |
| 作者单位： | 茂名石化公司信息中心,广东,茂名,525011 |
| |
| 摘 要： | 在软测量建模中，最常见的非机理建模方式就是利用神经网络进行建模，而近年来兴起的粒子群算法目前已应用于神经网络的训练。在对粒子群算法提出改进方案后，提出了基于改进的粒子群算法的前馈神经网络训练方案。然后再将神经网络应用到焦化装置分流塔柴油95％点软仪表模型参数估计中，得到了满意的结果，可以满足工业过程中的实际需要。
|
| 关 键 词： | 粒子群算法 神经网络 软仪表 |
Soft Sensor Technique with Particle Swarm Optimization |
| |
| CAI Yi.Soft Sensor Technique with Particle Swarm Optimization[J].GuangZhou Chemical Industry and Technology,2009,37(2):40-42. |
| |
| Authors: | CAI Yi |
| |
| Affiliation: | Information Centre;Sinopec Maoming Petrochemical Company Ltd.;Guangdong Maoming 525011;China |
| |
| Abstract: | Nowadays,Artificial Neural Networks(ANNs) was widely used for soft sensor modeling.The Particle Swarm Optimization(PSO),a new algorithm,gained its popularity in ANN training.A BP neural network training approach based on improved PSO algorithm was represented.And the BP neural network was applied in parameters estimation of soft sensor models of diesel 95 % point in coke sets.The result showed that the proposed technique satisfied the requirement of industrial process. |
| |
| Keywords: | particle swarm optimization neural networks soft sensor |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
