1) Classical washout algorithm
经典洗出算法
2) classical algorithm
经典算法
1.
The classical algorithm for mining association rules is Apriori algorithm.
关联规则挖掘的经典算法是Apriori算法,但是存在两大突出的问题,即多次扫描事务数据库和使用单一的支持度,导致了由于事务数据库的规模而增加搜索时间和产生冗余规则或有效规则被丢弃。
3) Washout algorithm
洗出算法
1.
According to the actual movement signals of the simulated vehicle,the parameters of the washout algorithm were identified,the simulator driver movement sensations were determined,and human body movement sensation errors were defined as the simulation fidelity measurement standards.
根据平台机构尺寸参数确定仿真器平台最大线(角)位移,结合仿真载运工具实际运动信号辨识出相应洗出算法参数,从而求解出仿真器驾驶员运动感觉,构造人体运动感觉误差作为模拟逼真度衡量标准,在建立平台机构尺寸参数和模拟逼真度之间联系的基础上,提出面向模拟逼真度的仿真器平台结构参数优化方法。
4) classical Viterbi algorithm
经典Viterbi算法
1.
Based on the general best search localization algorithm a under-control best search localization algorithm is introduced by improving the classical Viterbi algorithm.
以医学图像中脊柱的定位为应用背景,对经典Viterbi算法进行改进,根据全局最优搜索算法提出了可控的最优搜索算法,把隐马尔可夫模型(Hidden Markov model,HMM)应用于二维图像中线性结构对象的定位。
5) apriori traditional
经典Apriori算法
6) conventional FCM algorithm
FCM经典算法
1.
After making an outline of the discretization methods of quantitative data in the past,this paper presents an improved method based on nonlinear programming,which is focused on the defect of the conventional FCM algorithm.
文章在对数量属性数据离散化方法进行简要总结的基础上,针对FCM经典算法的不足,提出了基于非线性规划的改进方法,并用GAMS软件编程实现。
补充资料：出洗
1.犹言出挑。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条