资源列表
T-CM
- TCM的论文，利用三角约束改进SIFT，可增加三倍的特征点-Triangle Constraint for finding more good features
cva3
- 基于CVA+som的故障诊断,0为simple SOM，1为PCA+SOM, 2为CCA+SOM(CCA与PLS算法相同),3为LDA+SOM, -Based on CVA+ som fault diagnosis, 0 for the simple SOM, 1 for the PCA+ SOM, 2 for the CCA+ SOM (CCA and PLS algorithm the same), 3 for the LDA+ SOM,
PNN-faultdiagnosis
- 对于大数据学习的同学，本案例具有·非常好的引领作用，特别适合初学者！非常实用！-For large data learning students, this case has a very good leading role, especially for beginners! Very useful!
kohonen
- 对于大数据学习的同学，本案例具有非常好的引领作用，特别适合初学者！非常实用！该案例为网络聚类算法，适合研究网络入侵聚类。-For large data learning of students, this case has a very good leading role, is particularly suitable for beginners! Very practical! The case for the network clustering algorithm, is suitab
ANN
- 用两层神经网络实现的分类器，一个小demo,随机产生数据并分类-Neural network of two layers is used to implement data classifier, a small demo
PID
- 根据PID神经元网络控制器原理，在matlab中编程实现PID神经元网络控制多变量耦合系统。-According to the principle of PID neural network controller in matlab programming to realize the PID neural network control multivariable coupling system.
RBF
- 本例用RBF网络拟合未知函数，预先设定一个非线性函数，假定函数解析式不清楚的情况下，随机产生x1，x2和由这两个变量按上式得出的y。-In this case, using RBF network fitting of the unknown function preset a nonlinear function, assume that function under the condition of analytic expression is not clear, randomly gen
GRNN
- 根据货运量影响因素的分析，分别取国内生产总值，工业生产总值，铁路运输线路长度，复线里程比重，公路运输线路长度，等级公路比重，铁路货车数量和民用载货汽车数量8项指标因素作为网络输入。-According to analyzing the influential factors of freight volume, respectively take the gross domestic product, industrial production, the line length of railw
Hopfield1
- 根据Hopfield神经网络相关知识，设计一个具有联想记忆功能的离散型Hopfield神经网络。-Based on the Hopfield neural network knowledge, design a discrete Hopfield neural network with associative memory functions.
Softmax
- 一个小demo,用softmax实现数据分类，数据有4类，均服从高斯分布-A small demo, a classifier with softmax softmax is implemented to classify 4 classes of datas which are generated by gaussian distribution
Classifier-based-Softmax
- 一个小demo,用softmax实现数据分类，数据有4类，均服从高斯分布-A little demo, a classifier with softmax softmax is implemented to classify 4 classes of datas which are generated by gaussian distribution
number-recognitionP
- 基于matlab利用BP神经网络开发的手写数字识别，正负样本为分别为1000张，手写数字是minist库-Based on BP neural network matlab developed handwritten numeral recognition, positive and negative samples were 1000, handwritten digital library is minist