资源列表
Sieger
- 围棋人机对弈程序源码 此版本目前还只能下布局阶段，但很多用于中盘的数据结构及算法已实现。含2000多基本定式库。-procedures source of this version has only under the layout stage, but many were used to set the data structure and algorithm has achieved. Containing more than 2,000 for the basic mode.
ID3算法源程序(C语言)
- ID3算法源程序。使用的方法是编写一个*.dat文件保存样本数据，还有一个*.tag文件保存属性列名，且最后一个属性是标号属性。运行是输入id3 文件名。输出格式是一个二叉判定树。-ID3 algorithm source. The method used was to prepare a document preservation *. dat sample data, a document preservation *. tag attributes listed, and the fina
LVQ
- LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式，融合了自组织和有导师监督的技术。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning form of the expansion, integration of self-organization and the technical supervision of instructors.
KOHONEN
- Kohonen模型结构：它是受视网膜皮层的生物功能的启发而提出的。-Kohonen model structure : it is subject to retinal cortex of the biological function inspired by.
特征提取
- 特征提取：重点是几何特征（环，交叉点，端点）和变换,例子就是这些几何特征的提取。-Feature Extraction : focus on the geometric characteristics (Central, a crossover point, endpoint) and the transformation of these examples is the geometric features are extracted.
模式识别的一些预处理
- 模式识别的一些预处理，包括：图像压缩的例子：行程编码算法RCL， 手写体数据变换成像素位图的算法。-some pretreatment pattern recognition, including : Image Compression examples : RCL itinerary coding algorithm, handwritten data transformation into pixel bitmap algorithm.
基于特征提取技术的源程序代码
- 基于特征提取技术的源程序代码，开发环境是vc，希望对大家的学习有帮助 严禁用于商业用途-feature extraction technology based on the source code and development environment is vc, we hope to help the learning for commercial purposes is strictly prohibited! !
人脸检测系统源码vc6
- 人脸检测程序源码，测试环境vc6 本源码仅供学习和交流之用-face detection procedures source, the test environment vc6 only source learning and the exchange of use! !
C++神经网络开发包ANNIE源程序（最新版）
- C++神经网络开发包ANNIE，可以用C++语言开发各种神经网络：如BP，RBF，HOPFIELD等，同时随附件带有基于VC和.NET环境的示例源程序-C neural network development kits 8am, the C language can be used to develop a variety of neural networks : as BP, RBF, Hopfield, along with the annex and with VC.NET environ
一个主要用于预测和分类的源程序
- 开发环境:Matlab 简要说明:程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-development environment : Matlab brief descr iption : program includes the installation including : number, the total sample number, the number of samples modeling
BackProp算法源程序
- 开发环境:C语言 简要说明:BackProp算法：BP网络是反向传播(Back Propagation)网络。它是一种多层前向网络，采用最小均方差学习方式。这是一种最广泛应用的网络。它可用于语言综合，识别和自适应控制等用途。BP网络需有教师训练。 -development environments : C language Brief Descr iption : BackProp algorithm : BP is the back-propagation network (Back
用Delphi开发的遗传算法源程序
- 开发环境:Delphi 简要说明:TGABase is a abstract class. You must Derivate a sub_class from it. You must override abstract function calculateFitness. By the way, this class can only get minimum solution -development environment : Delphi Brief Descr iption :