Comparative Analysis of Processors Performance Using ANN

被引：0

作者：

Maurya, Vijay ^{[1
]}

Gupta, Suresh C. ^{[1
]}

机构：

[1] Indian Inst Technol BHU, Dept Elect Engn, Varanasi, Uttar Pradesh, India

来源：

2015 5TH INTERNATIONAL CONFERENCE ON IT CONVERGENCE AND SECURITY (ICITCS) | 2015年

关键词：

machine learning; CPU processors performance; ANN; data objects; neural networks; mean square error;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In the present era of plurality and diversity in electronic world taking decision for choosing the best one from a pool of products is a prudent approach. Machine learning helps us a lot in deciding the optimal choice. Artificial Neural Network are a family of statistical learning algorithms inspired by biological neural networks and can be incorporated to take a decision at par with a smart human perception. The purpose of this paper is to compare performance of CPU processors using some characteristics that are used as input, and subsequently comparing that result with existing performance that is published.

引用

页数：5

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