• 人工智能 •

基于灰嫡绝对关联分析在嵌入式计算机性能评价中的应用

1. (西北工业大学计算机学院 西安710072)
• 出版日期:2018-12-01 发布日期:2018-12-01

New and Better Algorithm for Evaluation of Overall Performance of Embedded Computer through Combining Grey Entropy with Absolute Correlation Degree

• Online:2018-12-01 Published:2018-12-01

Abstract: Conventional gray entropy correlation degree suffers from the non-uniqueness and asymmetry. We now proposed a novel evaluation model and applied the model to evaluate the performance evaluation of embedded computer.The algorithm combining the gray entropy theory with gray absolute correlation degree is to guarantee that the gray entropy absolute correlation degree has unique and symmetry, which can effectively avoid the miscarriage of justice for performance of embedded computer. A numerical example shows that the algorithm improves the effectiveness and accuracy of the performance evaluation of embedded computer,and provides a way to evaluate the comprehensive performonce of embedded computer.

 No related articles found!
Viewed
Full text

Abstract

Cited

Shared
Discussed
 No Suggested Reading articles found!