搜索资源列表
GP_binary
- 一个GP遗传编程的源程序，主要对随机数据处理，运行是需带参数-a source of genetic programming, random data processing, is the need to bring operating parameters
pf_colortracker.zip
- 基于粒子滤波的特定颜色目标跟踪算法C源程序,带Matlab接口和演示的视频数据. ,C Source Code for Partical fielter based Color tracker, with Matlab interface and Video Demo.
fann-2.1.0beta
- Fast Artificial Neural Network Library是一个免费开源的神经网络库，它用C实现了支持全连接及稀连接的多层人工神经网络，并且支持定点和浮点数的跨平台运行。库中包含有易于处理训练数据的框架。它易于使用、通用、文档完备并且快速。目前已有PHP, C++, .NET, Ada, Python, Delphi, Octave, Ruby, Prolog Pure Data 和 Mathematica的绑定。库中还附有一本带例子和关于如何使用本库的建议的参考手册，本库也有
DecisionTree
- 决策树ID3算法,带详细注释,可参考《数据挖掘概念与技术》里P185~P196,以MyEclipse7.0环境下开发的 测试数据在data文件下-Decision Tree ID3 Algorithm with extremely detail comments, refering to the book of Data Minning Concepts and Techniques. Do comprehend the content from Page 185 to Page 196 i
BP-Iris-classifier
- 使用BP网络实现了对Iris数据的分类，使用了可变学习速率和带动量的梯度下降算法。-Using the BP network realizes the classification of Iris data, the use of the variable learning rate and the amount of gradient descent algorithm driven.
KMeans
- 采用C++实现Kmeans聚类算法，距离的计算采用的是欧氏距离。数据集是weka自带的data里面的iris.arff数据集。假设样本所有属性都是数值属性，不考虑分类属性。-C++ implementation Kmeans classic clustering algorithm, the distance is calculated using the Euclidean distance. Data set is data that comes inside weka iris.arff
ganzhiji
- 感知机算法实现数据分类，内带实验数据，直接运行出结果-Perceptron algorithm for data classification with the experimental data，Run directly to results
SVM
- 支持矢量机算法实现数据分类，内带实验数据，直接运行出结果-SVM for data classification with the experimental data，Run directly to results
mse
- 最小均方误差法实现数据分类，内带实验数据，直接运行出结果-MSE algorithm for data classification with the experimental data，Run directly to results
meiqilu
- RBF神经网络仿真BJ煤气炉数据，运用matlab软件自带的函数进行仿真。-RBF neural network simulation BJ gas furnace data, use the Matlab software comes with a function to be simulated.
BP-of-Nonlinear-2
- 利用带动量项的改进ＢＰ神经网络算法对非线性函数进行拟合。通过验证函数，可以对训练好的数据进行验证。-Driven by the amount of improved BP neural network algorithm to fit the nonlinear function. Validated by the validation function, can be trained data.
smo_p
- svm支持向量机的SMO算法C++实现，带测试数据可以直接进行测试-SMO algorithm of support vector machine with the test data c++ realization, can be directly for testing
kMeans
- k-means算法,内带iris数据作为例子-k-means algorithm, within with the iris data as an example
FANN-2.2.0-Source
- FANN 2.20 Source code.Fast Artificial Neural Network Library是一个免费开源的神经网络库，它用C实现了支持全连接及稀连接的多层人工神经网络，并且支持定点和浮点数的跨平台运行。库中包含有易于处理训练数据的框架。它易于使用、通用、文档完备并且快速。目前已有PHP, C++, .NET, Ada, Python, Delphi, Octave, Ruby, Prolog Pure Data 和 Mathematica的绑定。库中还附有一本带例子
BP
- 使用VC++编写。BP人工神经网络计算程序，里面自带模拟数据。-Use VC++ writing. BP artificial neural network calculation program, which comes with analog data.
Item-CF-Programmer
- 一个用C++写的Item-CF代码，自带数据，适合初学者-One written by C++ Item-CF code, comes with data, suitable for beginners
BP_IRIS
- BP算法对IRIS数据进行分类，MATLAB代码，带数据文件-BP algorithm,iris data analysis,matlab programming
BP
- 三层神经网络算法，不适用MATLAB的库函数，自带数据集，测试通过-Three-layer neural network algorithm, does not apply MATLAB library functions, comes with data sets, tested
支持向量机
- 基于支持向量机算法的乳腺癌预测，自带数据，直接可运行！(Support vector machine algorithm based breast cancer prediction, comes with data, can run directly!)
Clustering-master
- 一个基础的聚类算法，带数据集，适合初步研究聚类算法的人学习。(A basic clustering algorithm, with data sets, is suitable for the preliminary study of clustering algorithm for human learning.)