摘要: 过去几年中,神经网络尤其是径向基网络得到广泛了应用,支持向量机作为一种新兴的学习机和神经网络相比有着极大的优越性,以某炼油厂催化裂化单元中的轻柴油凝固点为例,从Matlab算法验证和工程实践两方面说明了支持向量机在软测量建模中的巨大优越性。
关键词:
支持向量机,
软测量,
嵌入式系统,
油凝固点,
径向基网络
Abstract: In the past, artificial neural networks such as radial basis function neural networks have been successfully used in soft sensor modeling. However, ANNs have many weakness compared with SVMs in regression analysis. An SVM-based soft sensor package via embedded system, which lays solid base for advanced control system is developed.
中图分类号:
熊志化,邵惠鹤. 基于支持向量机的嵌入式软仪表[J]. , 2005, 31(05): 210-.
XIONG Zhihua, SHAO Huihe. SVM-based Embedded Soft Sensor System[J]. , 2005, 31(05): 210-.