| LSSVM在指数寿命型小子样IC寿命预测的应用 |
| |
| 引用本文： | 邹心遥,姚若河.LSSVM在指数寿命型小子样IC寿命预测的应用[J].科学技术与工程,2011,11(24). |
| |
| 作者姓名： | 邹心遥 姚若河 |
| |
| 作者单位： | 1. 广东农工商职业技术学院电子与信息工程系,广州,510507
2. 华南理工大学电子与信息学院,广州,510640 |
| |
| 基金项目： | 国家自然科学基金项目（面上项目，重点项目，重大项目） |
| |
| 摘 要： | 针对传统寿命预测方法需要大量样本与现代高可靠集成电路（IC）在寿命试验中通常只有少量失效样本的矛盾，提出了基于最小二乘支持向量机（LSSVM）的指数寿命型小子样IC寿命预测方法。用蒙特卡罗方法研究了该方法在指数寿命型IC寿命预测应用中的可行性，同时与基于神经网络的预测方法相比，结果表明基于LSSVM的方法能更精确地预测小子样下IC的寿命，可为预测指数寿命型小子样IC的寿命提供一种新的有效途径。
|
| 关 键 词： | 寿命预测 最小二乘支持向量机 集成电路 小子样 指数分布 |
| 收稿时间： | 5/25/2011 4:50:59 PM |
| 修稿时间： | 6/2/2011 10:05:29 PM |
Application of LSSVM on lifetime prediction of IC with small sample from exponential distribution |
| |
| Zou Xin-yao and Yao Ruo-he.Application of LSSVM on lifetime prediction of IC with small sample from exponential distribution[J].Science Technology and Engineering,2011,11(24). |
| |
| Authors: | Zou Xin-yao and Yao Ruo-he |
| |
| Institution: | South China University of Technology, Guangzhou |
| |
| Abstract: | It's becoming more and more difficult to get enough failure data sample during life test of modern integrated circuit(IC).However traditional reliability assessment methods need a lot of failure data.In order to resolve this contradiction,a life prediction method of IC with small sample based on least squares support vector machine(LSSVM) is proposed.This method can be used to predict the lifetime of IC with small sample when the failure distributions are assumed to be exponential distribution.In addition,t... |
| |
| Keywords: | life prediction least squares support vector machine IC small sample exponential distribution |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《科学技术与工程》浏览原始摘要信息 |
| 点击此处可从《科学技术与工程》下载免费的PDF全文 |
