资源列表
apriori
- 关联规则(Association Rules)是反映一个事物与其他事物之间的相互依存性和关联性，apriori是数据挖掘的一个重要技术，用于从大量数据中挖掘出有价值的数据项之间的相关关系-Association rules (Association Rules) is a reflection of the interdependence and correlation between things and other things, apriori data mining is an impo
Id3
- ID3算法是J. Ross Quinlan在1975提出的分类预测算法,该算法的核心是“信息熵”,属于数学问题.-ID3 algorithm is a classification algorithm J. Ross Quinlan prediction made in 1975, the core of the algorithm is the information entropy , belong to mathematical problems.
c4.5
- C4.5是机器学习算法中的另一个分类决策树算法,它是基于ID3算法进行改进后的一种重要算法,相比于ID3算法,改进有如下几个要点:用信息增益率来选择属性.-C4.5 decision tree algorithm is another classification machine learning algorithm, which is based on ID3 algorithm is an important algorithm improved, compared to the ID3 a
bayes
- 贝叶斯分类算法是统计学的一种分类方法，它是一类利用概率统计知识进行分类的算法。在许多场合，朴素贝叶斯(Naï ve Bayes，NB)分类算法可以与决策树和神经网络分类算法相媲美.- Bayesian classification algorithm is a statistical classification method, which is a kind of knowledge to classify the use of probabilistic algorithms.
gsp
- GSP算法是AprioriAll算法的扩展算法，而AprioriAll算法为Apriori类算法，故GSP算法也是一个Apriori类算法。-GSP algorithm is AprioriAll algorithm expansion algorithm, and the algorithm of Apriori class AprioriAll algorithm, it is also a GSP algorithm Apriori algorithm class.
jingzhenxingshenjingwanglou
- 竞争型神经网络 主要有自主型竞争、自组特征映射、自适应共振理论、学习向量量化等神经网络-Competitive neural networks are mainly autonomous competition, since the group feature mapping, adaptive resonance theory, learning vector quantization neural network
zidingyishenjingwanglou
- 自定义神经网络 主要有自定义神经网和自定义函数的初始化、学习、仿真函数-Custom neural networks are mainly custom neural network and initialize custom function, learning, simulation function
shenjingwanglou-Simulink
- 神经网络的Simulink应用 主要有基于Simulink的神经网络模块和网络控制系统-Simulink neural network based mainly Simulink neural network module and network control systems
suijishenjingwanglou
- 随机神经网络 主要有模拟退火算法和Boltzmann机及其应用-There are random neural network algorithms and simulated annealing Boltzmann Machine and Its Applications
shenjingwangloujichuyongyong
- 神经网络的基础应用 主要有感知器、线性、BP、RBF神经网络的应用-Basis neural networks are mainly application-aware, linear, BP, RBF neural network
shenjingwanglouzhongheyingyong
- 神经网络综合应用 主要有BP神经网络的应用、PID神经网络的控制、遗传算法优化神经网络、模糊神经网络、概率神经网络-Neural network integrated applications are mainly controlled BP neural network applications, PID neural networks, genetic algorithm optimization of neural networks, fuzzy neural network, proba
Desktop
- 在故障诊断中，对振动信号进行小波分析时候需要用到的小波尺度谱应用程序。-In fault diagnosis, wavelet analysis for vibration signal when the need to use the application spectrum of the wavelet scale.