Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator

المؤلف

Chen, Zhan-bo

المصدر

Journal of Control Science and Engineering

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-4، 4ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-11-11

دولة النشر

مصر

عدد الصفحات

4

التخصصات الرئيسية

هندسة كهربائية
تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

In order to improve the performance prediction accuracy of hydraulic excavator, the regression least squares support vector machine is applied.

First, the mathematical model of the regression least squares support vector machine is studied, and then the algorithm of the regression least squares support vector machine is designed.

Finally, the performance prediction simulation of hydraulic excavator based on regression least squares support vector machine is carried out, and simulation results show that this method can predict the performance changing rules of hydraulic excavator correctly.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Chen, Zhan-bo. 2014. Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator. Journal of Control Science and Engineering،Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-1040208

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Chen, Zhan-bo. Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator. Journal of Control Science and Engineering No. 2014 (2014), pp.1-4.
https://search.emarefa.net/detail/BIM-1040208

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Chen, Zhan-bo. Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator. Journal of Control Science and Engineering. 2014. Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-1040208

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1040208