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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 ...

UCGUI最新版源码简介UCGUI3.90版源码有如下几点新的变化. 1.这个版本的UCGUI提供了模拟器的源码(早知我不用那么辛苦反编译出模拟器源码了,不过大家可以比较一下看). 2.还有JPEG图版支持 3.ListView控件支持. 4.Menu菜单支持. 5.ScrollBar滚动条支持. 6.multi-controller多控制器支持. 另外源码上还有很多的调整, 将控 ...

This the specification of the Enterprise JavaBeansTM architecture.The Enterprise JavaBeans architecture is a component architecture for the development and deployment of componentbased distributed business applications. Applications written using the Enterprise JavaBeans architecture are scalable, t ...

This a full 3-tier dababase application which includes a activex dll project(business objects) and a standard exe(UI). Besides all the database techniques it demonstrates, it also shows how to make MSHFlexgrid a editable grid(with combobox, checkbox, datetimepicker) and how to merge a toolbar for mu ...

A collection of math routines including 8-bit, 16-bit, 32-bit signed and unsigned addition, subtraction, multiplication, and division. Very nice code library with heavy in-line documentation! Been looking for multi-byte divide? Here it is.

This zip describes an ISO7816 configuration to read the ATR. Includes main.html file for help. For use under Green Hills 3.6.1 Multi?2000 Software Tool.

This zip describes SPI communication with a Serial DataFlash AT45DB and/or with a DataFlashCard AT45DCB. It shows how to configure the SPI peripheral on the AT91RM9200EK. Includes main.html file for help. For use under Green Hills 3.6.1 Multi?2000 Software Tool

This zip describes an AT91 USART with PDC Transmission and Reception chain.Includes main.html file for help. For use under Green Hills 3.6.1 Multi?2000 Software Tool.

annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.

Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer pe ...