搜索资源列表
work
- 《神经网络与机器学习》simon Haykin著bp算法实现对双月数据的分类-" Neural networks and machine learning" simon Haykin bp algorithm with the classification of bi-monthly data
work1
- 《神经网络与机器学习》中的rls算法程序-neural networks and learing machines
LMS
- 《神经网络与机器学习》中的lms算法，自己编写-" Neural networks and machine learning" in the lms algorithm
conjg
- 《神经网络与机器学习》书中的，根据共轭梯度法进行双月型数据的分类-" Neural Networks and Machine Learning" book, according to the conjugate gradient method for data classification based bimonthly
k-means-and-knn_matlab
- 用matlab实现机器学习中的两个经典算法：k-means和knn。-Using matlab to achieve in two classic machine learning algorithms: k-means and knn.
Face_Angle_Neural_net
- 用ＭＡＴＬＡＢ 进行人脸方向识别，适合做学习模式识别以及机器学习的同学学习-Using MATLAB face direction recognition, suitable for studying pattern recognition and machine learning of students learning
SMO_CPP
- SOM算法的C++实现，并对其中的代码进行了解释说明，该算法的应用性很广，多用于机器学习-SOM algorithm in C++, and the code for the explanation, the algorithm is applied very widely used for machine learning
libsvm-3.1
- SVM是一种常用的模式分类机器学习算法，以效率高准确度高闻名于世，libsvm和svmlight是常用的两种SVM实现方法。 这个是台湾林智仁写的，有各种语言版本-SVM is a common pattern classification machine learning algorithm, known to high accuracy, high efficiency, libsvm and svmlight are two commonly used SVM implementation
decision_tree
- 机器学习实验决策树的程序、数据和报告 用C语言写的 功能较简单-Experimental procedures for decision tree machine learning, data and reports written in C language functions than simple
K-means
- 机器学习 模式识别 二维K-means实现 包括代码、数据和实验-Machine learning pattern recognition, including two-dimensional K-means to achieve code, data and experimental
normizeimage
- 用于遍历一个文件夹下所有的图片文件，对图片进行归一化，同时还进行翻转，对于机器学习制作样本，归一化非常有用（环境opencv2.2 vc2010)-Traverse a folder for all image files, the picture is normalized, while the flip, making samples for machine learning, normalization is very useful (Environmental opencv2.2 vc2
Libsvm
- 人工智能领域中机器学习所用的支持向量机算法，用C++ & Python编写，可以直接使用。-Artificial Intelligence field: Machine Learning Supported Vector Machine C++ & Python Source Code you can use it as you like
stasm
- C++编写的人工智能领域机器学习方向模式识别所用的STASM算法，开源，适合修改或直接使用，适合初学者参考。-Artificial Intelligence and machine learning pattern recognizition STASM algorithm, open source, easy to modify or use directly.
k-means
- k-means算法，用于聚类,是一种机器学习的典型算法- k-means, used to clustering
IPT
- 个人在学习数字图像处理和机器视觉时编的一些代码-Individuals in learning digital image processing and machine vision some code when compiled
GA
- gA 算法是机器学习很重要的算法，目前正在开发研究阶段，其算法是仿照人类而生的。-gA machine learning algorithm is very important to the algorithm, is currently developing the research stage, the algorithm is modeled on the human born.
bayes
- 机器学习中关于贝叶斯公式和全概率公式的PPT讲解 很全面细致-Bayesian machine learning on the total probability formula and the formula is very comprehensive and detailed explanation of PPT
MissSVM
- 人工智能机器学习神经网络 -Artificial neural network artificial intelligence, machine learning machine learning neural networks
Wavelet-kernel-learning
- 简单介绍了小波变换在机器学习中的应用。多谢您的下载-A brief introduction of wavelet transform in machine learning applications. Thank you for downloading
IrisDC06
- 分类是数据挖掘 、机器学习 和模式识别 中一个重要的研究领域。分类的目的是学会一个分类模型 (称作分类器)，该模型能把未知类别的数据项映射到给定类别中。目前发展较成熟的几种分类算法 如决策树、神经网络、贝叶斯方法、遗传算法等。分类具有广泛的应用，例如医学诊断、信用卡系统的信用分级、图像模式识别等。本毕业设计通过使用鸢尾属植物(IRIS)数据集，对当前数据挖掘中具有代表性的优秀分类算法进行分析和比较，总结出了各种算法的特性，为使用者选择算法或研究者改进算法提供了依据。-Classificatio