This is a program that I did several days ago.It is about Airport Ticket Sale System.You can use it as an example.
標簽： Airport program several System
上傳時間： 2015-06-14
上傳用戶：skhlm
Displaying large amounts of technical data in a chart can be a frustrating task. You can find tons of charting controls with fancy effects and useless features, but when it comes to displaying many curves at once, independently scaled on different axes, most of them fail.
標簽： frustrating Displaying can technical
上傳時間： 2014-01-05
上傳用戶：exxxds
uml 實例 Digital Sound Recorder: A case study on designing embedded systems using the UML notation.
標簽： designing Recorder embedded notation
上傳時間： 2015-06-15
上傳用戶：nanshan
a non-sharing smart pointer class that can be used with STL containers such as std::map, vector, list, set, and deque. The smart pointer has an assignment operator and greater than operator that call the target object s operator.
標簽： non-sharing containers pointer vector
上傳時間： 2015-06-15
上傳用戶：Late_Li
zhege shi wo meishi de shih xia nong de da jia jiu bu yaokan l .heh ..xiexie
標簽： meishi yaokan xiexie zhege
上傳時間： 2013-12-31
上傳用戶：xauthu
40 a 傳送文件 在匯編環境下傳送40個A
上傳時間： 2013-12-24
上傳用戶：小草123
青蛙過河~ 就是青蛙過馬路 過馬路很危險請小心... that s a
標簽： that
上傳時間： 2015-06-17
上傳用戶：gyq
This Program Is Designed To Simulate A Spatial Antenna Array System Working On The MUSIC Algorithm For The Angle Of Arrival Estimation And Null Steering Algorithm For The Weights Estimation To The Required Output Radiation Pattern .
標簽： Designed Algorith Simulate Program
上傳時間： 2014-01-02
上傳用戶：三人用菜
This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for the network. Using the training samples, the weights multiplying each of the gaussian basis functions arecalculated using the pseudo-inverse (yielding the minimum least-squares solution). The resulting network is then used to approximate the function between the given "sample" points.
標簽： approximation demonstrates capabilities Function
上傳時間： 2014-01-01
上傳用戶：zjf3110
The Hopfield model is a distributed model of an associative memory. Neurons are pixels and can take the values of -1 (off) or +1 (on). The network has stored a certain number of pixel patterns. During a retrieval phase, the network is started with some initial configuration and the network dynamics evolves towards the stored pattern which is closest to the initial configuration.
標簽： model distributed associative Hopfield
上傳時間： 2015-06-17
上傳用戶：l254587896
