资源列表
ANewC4.5alg
- 经典的数据挖掘分类算法,由ID3算法演变而来。本算法主要用于处理连续属性值,基本过程如下: 1.根据属性的值对数据集排序 2.用不同的阈值将数据集动态的分类 3.迭代根据阈值进行划分 4.得到所有可能的阈值、增益以及增益比-classical classification of data mining algorithms, evolved from the ID3 algorithm. This is mainly used to deal with continuous at
MILL
- Multiple INstance Learning Library
zlsj
- 滑动窗口的数据流闭合频繁模式的挖掘算法,用VC编写-sliding window of data flow closure frequent pattern mining algorithm, prepared by VC
PRAssign
- 脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 Testscr iptRecognition.m:测试代码 scr iptFeaExtract.m :特征提取 KNearestEstimate.m :K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m :训练bayes分类器 Bayes.m :测试bayes分类器 CrossValidate.m :m交叉验证 -Offlin
matlabrbf
- Matlab实现BF算法-Matlab algorithms BF
k
- c++编写的模式识别k均值算法-c k prepared by the average pattern recognition algorithm
Three Open Problems in AI
- 人工智能领域最基本的问题-artificial intelligence fundamental problem
jnntbeta0.2f
- 人工神经网络java工具箱源代码 包含BP网络,K分类和RBF网络-ANN java source code toolkit includes BP, K Classification and RBF Network
cqa
- 背包问题的遗传算法解法-knapsack problem Genetic Algorithm Solution
背包问题的遗传算法解法
- 背包问题算法解决-Knapsack Problem Solving
BP程序C代码C_bp
- 神经网络BP算法源代码-BP neural network algorithm C sourcecode
基于FIR神经网络的非线性盲信号分离
- 基于FIR神经网络的非线性盲信号分离-FIR based on the nonlinear neural network Blind Signal Separation