搜索资源列表
ASMTrainSet
- active shape models训练集-an active shape the models training set
AdaBoost
- 这是一本介绍AdaBoost算法的资料。Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器-This is an introduction AdaBoost algorithm information. Adaboost is an iterative algorithm, the core idea for a training set of different classifiers (weak cl
matlab-4
- 用BP算法实现函数 逼近。 说明：1）网络结构为三层（输入层、1个隐层和输出层） 2）获取两组数据，一组作为训练集，一组作为测试集 3）用训练集训练网络 4）用测试集检验训练结果 -With BP algorithm function approximation. Descr iption: 1) The network structure of the three-layer (input layer, a hidden layer and output laye
ID31
- 用ID3算法估算打网球的天气决定因素，本代码是对天气问题的训练集建树的。-With ID3 algorithm to estimate the weather to play tennis determinants, the code is established training set of weather problems.
train-images-idx3-ubyte
- MNIST数据集中图像数据文件， 60000个训练集-The MNIST dataset image data files, 60000 training set
Naive-Bayesian-Data-Classification
- 数据挖掘基于朴素贝叶斯分类算法实现 该类是训练集的类-Data mining based Bayesian classification algorithm to achieve
PCA_based-Face-Recognition-System
- 基于pca的人脸识别算法，包括matlab源代码和相关的训练集和测试集。-PCA_based Face Recognition System
dataset_602132
- 经典问题TSP（旅行商算法） 蚁群算法训练集-Classic problem TSP (traveling salesman algorithm) ant colony algorithm training set
wordmark
- 通过一个已经标号词性的训练集来得到训练数据，再根据训练数据对需要进行分词的数据进行分词，采用概率最高的分词情况为最后结果。-By a label the parts of speech training set training data to get the need segmentation data based on the training data segmentation with the highest probability of segmentation for the fin
CTB
- 中文分词和词性分析通用的训练集，含POS。-Chinese word segmentation and part of speech analysis of generic training set.
license-plate-recognition-system-
- 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。-First open a picture in order graying, binarization, gray stretch, license plate location, binarization, skew correction and character s
BP
- 用C写的简单的神经网络算法，利用训练集学习并建立模型，并对测试集进行分类-Simple neural network algorithm, written in C using the training set of learning and to establish the model, and test set classification
ChineseSegment
- 一个完整的中文分词程序，有源码，词典，训练集。算法简洁高效，准确率高。包含了一种将标注语料和词典融合的新型分词方法。将语料分割为2:1为训练集和测试集，加上一个外部词典，准确率可以达到95 。适合入门者学习。也适合需要一个简单分词工具的应用。-A Chinese word segmentation procedures, source, dictionary, the training set. The algorithm is simple and efficient, high accura
SVM
- 首先将变压器故障的样本分成训练集和测试集两部分，然后对它们进行归一化，再用网格参数寻优得到c和g，最后进行变压器故障的预测。-SVM transformer fault diagnosis
nn
- 最近邻算法实现 k近邻 Z为训练集，每行一个样本，n*m labZ为与Z对应的类别，列向量 Z_T为测试集，每行一个样本，p*m labZ_T为输出结果,p*1-Nearest-neighbor algorithm
linearfunc
- 模式识别中两种常用的线性判别函数方法。fisher函数，和MSE。train.txt是训练集。-Pattern recognition of two commonly used linear discriminant function method. fisher function, and MSE. train.txt is the training set.
Adaboost
- Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器(强分类器)。-Adaboost is an iterative algorithm, its core idea is different classifications for the same training set (weak classifiers), then these weak classifiers together to form a
TE
- 田纳西伊斯曼仿真数据，包括训练集和测试集-The Tennessee Eastman simulation data
BP
- 一个简单的神经网络实现二分类问题，里面包含代码，以及训练集和测试集的数据，可以直接用的，对初学者是不错的资源-A simple neural network to achieve the two-class problem, which contains the code, as well as training and testing data sets can be directly used, is a good resource for beginners
svmreg
- svm-分类，建模，预测等，可以分类，含训练集与测试集-svm-classification, modeling, forecasting, classification, with the training set and test set