基于最小二乘支撑矢量机矩阵分割算法的陀螺仪误差系数预测  

Forecast of Error Coefficients Based on the Matrix Splitting Algorithm of Least Squares Support Vector Machine for Gyroscope

作　　者：陈伟[1] 胡昌华[1] 丁力[1] 

机构地区：[1]第二炮兵工程学院302教研室,陕西西安710025

出　　处：《战术导弹控制技术》2006年第1期67-70,共4页

摘　　要：介绍了支撑矢量机的回归算法。针对支撑矢量机标准算法训练速度慢的问题．给出了两种不同形式的最小二乘支撑矢量机矩阵分割算法．并将其应用于陀螺误差系数的预测中。仿真实验结果证明了算法的可行性和有效性。This paper introduces the regression estimate with Support Vector Machine （SVM）. Aiming at the standard algorithm＇s low training speed and can＇t solve large scale problem, two different least squares support vector machine matrix have been put forward, and its application in forecasting the error coefficients of gyroscope. The simulated experiment proved the algorithm is valid and acceptable.

关 键 词：最小二乘支撑矢量机 矩阵分割 陀螺仪 误差系数 预测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TP391.41[自动化与计算机技术—计算机科学与技术]