期刊文献+
共找到5篇文章
< 1 >
每页显示 20 50 100
基于RBF神经网络曲线重构的算法研究 被引量:2
1
作者 杨吟冬 周永权 +1 位作者 李陶深 侯占伟 《计算机工程与设计》 CSCD 北大核心 2007年第10期2405-2407,共3页
提出一种基于径向基(RBF)函数神经网络的曲线重构学习方法,即由描述物体轮廓特征的样本点作为RBF神经网络的学习样本,利用RBF神经网络强大的函数逼近能力对样本点进行学习和训练,从而仿真出包含这些样本点的原始曲线,同时对于曲线一些... 提出一种基于径向基(RBF)函数神经网络的曲线重构学习方法,即由描述物体轮廓特征的样本点作为RBF神经网络的学习样本,利用RBF神经网络强大的函数逼近能力对样本点进行学习和训练,从而仿真出包含这些样本点的原始曲线,同时对于曲线一些样本点缺少的情况下,仍然能构通过调整参数训练得到这些样本点的原始拟和曲线。实验表明,基于径向基(RBF)函数的神经网络具有很强的物体边界描述能力和缺损修复能力。 展开更多
关键词 径向基函数 神经网络 曲线 拟合 修复
下载PDF
基于Apriori和位集合的关联规则应用 被引量:3
2
作者 刘永彬 秦亮曦 +1 位作者 王永卿 杨吟冬 《微计算机信息》 北大核心 2007年第33期141-143,共3页
采用Apriori性质和位集合的技术进行海量遥感图像数据的挖掘,该算法只扫描一次事务数据库。节省了MBSA算法中的位集合的逻辑"与"操作,提高了效率,尤其针对海量的遥感图像数据。并将该算法应用到遥感图像关联规则挖掘中。
关键词 数据挖掘 遥感图像 关联规则 位集合
下载PDF
BP神经网络用于藻类生长预测的改进
3
作者 杨吟冬 周永权 刘永彬 《现代计算机》 2006年第9期11-13,29,共4页
针对传统的BP神经网络应用于藻类生长预测时,往往出现训练时间较长、输出数据精度低等问题。本文提出了在含有两层隐含层的BP神经网络结构中,对于数量一定的神经元,若神经元在隐含层分配合理,则BP神经网络可以达到减少训练次数并且能满... 针对传统的BP神经网络应用于藻类生长预测时,往往出现训练时间较长、输出数据精度低等问题。本文提出了在含有两层隐含层的BP神经网络结构中,对于数量一定的神经元,若神经元在隐含层分配合理,则BP神经网络可以达到减少训练次数并且能满足问题精度的要求。应用实例表明,该方法对预测藻类生长显得非常有效。 展开更多
关键词 BP神经网络 隐含层 神经元分配 藻类生长预测
下载PDF
An efficient adapting virtual intermediate instruction set towards optimized dynamic binary translator (DBT) system
4
作者 杨吟冬 管海兵 《Journal of Central South University》 SCIE EI CAS 2012年第11期3118-3128,共11页
A new efficient adapting virtual intermediate instruction set,V-IIS,is designed and implemented towards the optimized dynamic binary translator (DBT) system.With the help of this powerful but previously little-studied... A new efficient adapting virtual intermediate instruction set,V-IIS,is designed and implemented towards the optimized dynamic binary translator (DBT) system.With the help of this powerful but previously little-studied component,DBTs can not only get rid of the dependence of machine(s),but also get better performance.From our systematical study and evaluation,experimental results demonstrate that if V-IIS is well designed,without affecting the other optimizing measures,this could make DBT's performance close to those who do not have intermediate instructions.This study is an important step towards the grand goal of high performance "multi-source" and "multi-target" dynamic binary translation. 展开更多
关键词 binary translation virtual intermediate instruction set dynamic binary translator (DBT)
下载PDF
Partitioning the Conventional DBT System for Multiprocessors 被引量:1
5
作者 马汝辉 管海兵 +3 位作者 朱二周 杨洪波 杨吟冬 梁阿磊 《Journal of Computer Science & Technology》 SCIE EI CSCD 2011年第3期474-490,共17页
Noticeable performance improvement via ever-increasing transistors is gradually trapped into a predicament since software cannot logically and efficiently utilize hardware resource, such as multi-core resource. This i... Noticeable performance improvement via ever-increasing transistors is gradually trapped into a predicament since software cannot logically and efficiently utilize hardware resource, such as multi-core resource. This is an inevitable problem in dynamic binary translation (DBT) system as well. Though special purpose hardware as aide tool, through some interfaces, provided by DBT enables the system to achieve higher performance, the limitation of it is significant, that is, it is impossible to be used widely by another one. To overcome this drawback, we focus on building compatible software architecture to acquire higher performance without platform dependence. In this paper, we propose a novel multithreaded architecture for DBT system through partitioning distinct function module, which is to adequately utilize multiprocessors resource. This new architecture devides couples the common DBT system (DBTs) working routine into dynamic translation, optimization, and translated code execution phases, and then ramifies them into different threads to enable them concurrently executed. In this new architecture, several efficient novel methods are presented to cope with intractable work that puzzles most researchers, such as communication mechanism, cache layout, and mutual exclusion between threads. Experimental results using SPECint 2000 indicate that this new architecture for DBT system can achieve higher performance -- speed up the traditional DBT system by about average 10.75%, with better CPU utilization. 展开更多
关键词 DBT OPTIMIZATION MICROPROCESSOR MULTI-CORE SPECint 2000
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部