搜索资源列表
keyword
- 邮件分类学习,使用svm库实现,用4组数据训练,1组数据测试-Mail classification learning, using svm library implementation, training with four sets of data, one set of data to test
opencv2.4.5-training-exe
- 基于opencv2.4.5的数据训练之产生training的exe文件,在使用opencv找不到相对应执行的exe时,可提供参考-Based on the data opencv2.4.5 training training exe files, in the use of opencv cannot find a corresponding executing exe, can provide the reference
dssTree
- 决策树java工程源码,access数据训练集-Java source tree works, access data training set
Matlab
- 将Iris数据集分为2组,每组各75个样本,每组中每种花各有25个样本。其中一组作为以上程序的训练样本,另外一组作为检验样本。为了方便训练,将3类花分别编号为1,2,3 。 使用这些数据训练一个4输入(分别对应4个特征),3输出(分别对应该样本属于某一品种的可能性大小)的前向网络。-The Iris data set is divided into two groups each of 75 samples in each group have 25 samples in each fl
x
- 半导体数据训练集和测试集用来检测故障,使用MATLAB编程对数据采集-Semiconductor data training and test sets used to detect faults, using MATLAB programming for data collection
TS
- Ts模糊神经网络程序matlab代码,用于风电相关研究的数据训练及测试-Ts fuzzy neural network application matlab code
ELM
- 极限学习机,类似单层神经网络学习,可以用于稀疏表示中数据训练分类-extreme learning machine
nueral-network
- 神经网络~通过前30天的数据训练权值向量和阈值,预测第31天的叶绿素含量。-Neural Network- 30 days ago by data trained weight vector and threshold, forecast the chlorophyll content of the first 31 days.
BPneutralNetwork
- bp神经网络分两类.首先在savedata.m里将两类数据分别标记为1和2,然后在nncw.m里将load数据训练,最后在test里load新数据测试。-bp neural network divided into two categories. First, there will be two types of data in savedata.m are labeled 1 and 2, and then load the data in nncw.m in the training, th
Untitled2
- 基于ELman神经网络的预测,用前六天的数据训练网络,第七天的数据作为网络的测试数据-Based on ELman neural network prediction, with the first six days of data training network, the seventh day of the data as the network test data
zhichixiangliangji_SMO_SVM
- 支持向量机大样本数据训练,管用,速度快,非常好-Support vector machine large sample data training, effective, fast, very good
codes
- 手写数码(0到9)识别的神经网络框架。附有数据训练集和测试集。采用随机梯度下降的BP算法。可以修改参数,加入drop out和动量法。-Digital handwriting (0 to 9) of the neural network recognition framework. With training and test data sets. BP algorithm using stochastic gradient descent. Parameters can be modified
main3
- svM分类器的使用,数据是从TXT文件中读取自己的数据训练-the usage of SVM with the data form txt of one s own data for training
模式识别第一次作业
- 1. 用 dataset1.txt 作为训练样本,用dataset2.txt 作为测试样本,采用身高和体重数据为特征,在正态分布假设下估计概率密度(只用训练样本),建立最小错误率贝叶斯分类器,写出所用的密度估计方法和得到的决策规则,将该分类器分别应用到训练集和测试集,考察训练错误率和测试错误率。将分类器应用到dataset3 上,考察测试错误率的情况。(1. using dataset1.txt as training samples as test samples by dataset2.tx
LDAfenlei
- 此程序主要用来对iris数据集进行分类,主要训练二分类器。(This program is mainly used to classify iris data sets)
xigua
- 该程序为BP网络训练程序,以西瓜数据集3.0为样本集。在MATLAB上运行,供大家学习(The program is BP network training program, watermelon data set 3 as a sample set. Run on MATLAB for everyone to learn)
mnist_train_leveldb
- caffe-windows mnist 训练用的数据集,此数据集用于mnist训练模型(Caffe-windows MNIST training data set, this data set is used for MNIST training model)
mnist_test_leveldb
- caffe-windows mnist 测试用数据集,此数据集用于mnist训练时的测试数据集(Data sets for caffe-windows MNIST tests, which are used for test data sets when MNIST is trained)
titaniccsv
- 数据挖掘训练集 泰坦尼克 kaggle 训练集 超级好用(train datasettrain he world had witnessed a titanic struggle between two visions of the future)
BP神经网络的非线性系统建模——非线性函数拟合
- 在工程应用中经常会遇到一些复杂的非线性系统,这些系统状态方程复杂,难以用数学方 法准确建模。在这种情况下,可以建立 BP 神经网络表达这些非线性系统。该方法把未知系统看成是一个黑箱,首先用系统输入输出数据训练 BP 神经网络,使网络能够表达该未知函数,然后用训练好的 BP 神经网络预测系统输出 。(In engineering applications, some complicated nonlinear systems are often encountered. The equations