自適應(Adaptive)神經網絡源程序 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables
標簽： collection implement Adaptive adaptive
上傳時間： 2015-04-09
上傳用戶：ywqaxiwang
BoboMail is a so called webmail application, which provides mail access through a web interface. It handles MIME messages properly (including HTML mails) and is implemented in Python BoboMail是一個webmail應用程序，它提供通過一個web接口的郵件訪問。它可以正確處理MIME消息（包括HTML郵件），用Python實現。
標簽： application interface BoboMail provides
上傳時間： 2013-12-08
上傳用戶：kristycreasy
This article is a very simple introduction writing a Windows Form application for the Microsoft.NET framework using C#. The sample application demonstrates how to create and layout controls on a simple form and the handling of mouse click events. The application displays a form showing attributes of a file. This form is similar to the properties dialog box of a file (Right click on a file and Click on Properties menu item). Since attributes of a file will be shown, the sample will show how to use File IO operations in .NET framework.
標簽： introduction application Microsoft article
上傳時間： 2015-04-09
上傳用戶：www240697738
This Delphi 4.0 example uses the MapX Ver 4.0 OCX Control. The main goal of this example is to show the use of the new object editing capabilities in MapX Ver 3.51. The program show how to perform functions such as adding a new layer adding lines and points, and editing a layers data.
標簽： example 4.0 Control Delphi
上傳時間： 2015-04-10
上傳用戶：lhc9102
The CC1000 RF transceiver is very easy to interface with a microcontroller. The chip is configured using a three-wire bus, comprising of PCLK, PDATA and PALE signals.
標簽： microcontroller transceiver configured The
上傳時間： 2014-01-04
上傳用戶：c12228
SR-tree is an index structure for high-dimensional nearest neighbor queries，C++ sourcecode. SR-tree outperforms the R*-tree and the SS-tree especially for high-dimensional and non-uniform data which are likely to appear in the actual image / video applications.
標簽： high-dimensional structure neighbor SR-tree
上傳時間： 2013-12-10
上傳用戶：zjf3110
This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification . JAVA 寫的估計復合高斯模型中的參數
標簽： model parameter estimate Mixture
上傳時間： 2015-04-10
上傳用戶：kikye
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble. Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.4, pp.725-735.
標簽： Description Randomness Attribute Filtered
上傳時間： 2015-04-10
上傳用戶：ynzfm
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
標簽： Description supervised algorithm S-ISOMAP
上傳時間： 2015-04-10
上傳用戶：wfeel
Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42. 使用神經網絡集成方法診斷糖尿病,肝炎,乳腺癌癥的案例研究.
標簽： comprehensibl Description Rule-PANE accurate
上傳時間： 2013-11-30
上傳用戶：wcl168881111111
