Different methods for generating pyramid data structure have been analysed, thesea fast algorithm of pyramid data struct is provided.
标签： generating Different algorithm structure
上传时间： 2013-12-17
上传用户：SimonQQ
NRF905驱动代码 // The content of this struct is nRF905 s initialize data. // CH_NO=1 433MHZ Normal Opration,No Retrans RX,TX Address is 4 Bytes // RX TX Payload Width is 32 Bytes Disable Extern Clock Fosc=16MHZ // 8 Bits CRC And enable
标签： initialize 905 content Normal
上传时间： 2013-12-16
上传用户：lanjisu111
This a simple algorithm that downloads all most updated data from the stocks in the SP500 index, for as many day you want and for different frequencies (daily, weekly and monthly).
标签： algorithm downloads the updated
上传时间： 2014-11-22
上传用户：zjf3110
富士通单片机MB902420系列 CAN Project: CAN0 will work as a simple Repeater. Received data will appear at Port P47..P40 (UserLEDs of FlashCan100P) and will send out again as byte-packages to ID#2 Receive-Buffer #1 : basic can Transmit-Buffer #6 : full-can ID #2
标签： will Repeater Received Project
上传时间： 2016-04-27
上传用户：www240697738
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The point at which a local minimum is achieved is returned as CENTRES.
标签： CENTRES KMEANS OPTIONS cluster
上传时间： 2014-01-07
上传用户：zhouli
conversion data type between different type datas
标签： type conversion different between
上传时间： 2016-04-29
上传用户：h886166
Wicket一个开发Java Web应用程序框架。它使得开发web应用程序变得容易而轻松。 Wicket利用一个POJO data beans组件使得它可以与任何持久层技术相结合。
上传时间： 2014-11-30
上传用户：15736969615
labview uart data recieve and transform...it is useful for you
标签： transform labview recieve useful
上传时间： 2014-08-06
上传用户：cccole0605
The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples. The returned model has the form 1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2) 2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2) 看不懂，据高手说，非常有用。
标签： identification neuro-fuzzy implemented analysis
上传时间： 2014-01-12
上传用户：zgu489
guoxin up data tools
上传时间： 2016-05-03
上传用户：qazxsw
