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Description: 这个文件是用visual c++编写的一个简单的英语查找单词程序。-This document is a visual c++, prepared by a simple English word search program.
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Size: 1649664 |
Author: isolate |
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Description: 手持移动设备 mini GUI 源代码
以及下列库的源代码:
libgif,libjpeg,libpng,libtiff and zlib
手机、电子词典等开发若想自己写GUI，可以参考这套源码，功能齐全而又不庞大复杂-a Mini GUI source codes for mobile device and source codes of the following libs:
libgif,libjpeg,libpng,libtiff and zlib
Good for mobile,eDict GUI design, brief and full functional
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Size: 781312 |
Author: manGO |
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Description: 嵌入维数自适应最小二乘支持向量机
状态时间序列预测方法
Condition Time Series Prediction Using Least Squares Support Vector Machine
with Adaptive Embedding Dimension
针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应
最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
数, 以交叉验证误差为评价准则, 利用粒子群优化( P SO ) 进化搜索LSSV M 预测模型的最优超参数与嵌入维
数, 同时通过矩阵变换原理提高交叉验证过程的计算效率, 并最终建立优化后的L SSVM 预测模型。航空发
动机排气温度( EGT ) 预测实例表明, 该方法可自适应选取适用于状态时间序列预测的最优嵌入维数且预测
精度高, 适用于航空发动机状态时间序列预测。- T o deal wit h the difficulty of selecting an appro pr iate embedding dimension for aeroeng ine co ndition
time series predictio n, a metho d based o n least squar es suppo rt vecto r machine ( L SSVM ) with ada ptive em
bedding dimension is pro po sed. I n the method, the embedding dimensio n is identified as a parameter that af
fects the accuracy o f the aer oengine condition time series predictio n par ticle sw arm o ptimizat ion ( P SO) is ap
plied to optimize the hyperpar ameter s and embedding dimension of the L SSV M pr edict ion model cro ssv alida
tion is applied to evaluate the perfo rmance o f the L SSVM predictio n mo del and matr ix tr ansfo rm is applied to
the L SSVM pr ediction model tr aining to accelerate the crossvalidation evaluation pro cess. Ex periments on an
aeroengine ex haust g as t emperatur e ( EGT ) predictio n demonst rates that the metho d is hig hly effective in em
bedding dimension selection. In compar ison w ith co nv
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Size: 342016 |
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Description: 一款简单的单机的电子词典，可以查询不理解的单词-A simple single electronic dictionary, don t understand the words can inquire
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Size: 2367488 |
Author: 曹世博 |
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Description: 为满足精细、短时天气预报的需求, 我国地面自动站( AWS) 观测系统的建设日趋完善。AWS
资料在数值预报系统中没得到充分使用的原因之一是AWS 观测资料的特殊性及数值预报系统缺少有
效针对AWS 观测资料的质量控制( QC) 方案。-With the enhancement of the meteorolo gical o bser vation system in China, the Automatic
surface Weather observat ion System ( AWS) is coming into the perfect condit ion. Local AWS netw ork
has been setup in many areas and much attent ion has been paid to the applicat ion of AWS data. Somehow,
data quality tur ns to be one of the roadblock in the w ays of AWS data applicat ion. In or der to fulfill the
funct ion of AWS data bet ter, a feasible observat ion data quality co nt ro l module should be designed to
make sure AWS data that used in the meteo rolog ical r esearch and o peration w ith a higher quality. The
AWS QC module in this paper consult the advantag e of other AWS Q C module of adv ance count ries and is
bro ug ht forw ard consult ing the char acteristic of AWS and the requirement of the high reso lut ion Numer ical
Weather Pr edict io n( NWP) operat ional mo del.
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Size: 428032 |
Author: wanggen |
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Description: 使用delphi 做的PLC梯形图编程 仅仅编程-PLC edict use Delphi develop
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Size: 694272 |
Author: 你大爷 |
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