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动量梯度下降算法和贝叶斯正则化算法BP神经网络程序实例
- 动量梯度下降算法和贝叶斯正则化算法BP神经网络程序实例，可以直接运行。
Artificialintelligence
- 详细介绍了贝叶斯理论，神经网络，模糊集合，粗糙集，遗传算法的原理与应用等。 -Details of the Bayesian theory, neural networks, fuzzy sets, rough sets, genetic algorithm theory and applications.
BNT_SLP.tar
- 动态贝叶斯网络结构学习算法，用来检验基于BOA的DBN结构寻优体系的合理性与可行性。环境matlab 6.1以上-Dynamic Bayesian network structure learning algorithm, the DBN used to test the structure-based optimization BOA system is reasonable and feasible. Environmental matlab 6.1 or above
ANN
- BP神经网络的matlab程序（动量梯度下降算法训练 、贝叶斯正则化算法）-BP neural network matlab program
beiyes
- 贝叶斯网络概率中文分词算法，基于概率的分词算法-Bayesian network probability of Chinese word segmentation algorithm, based on the probability of word segmentation algorithm
mixtureBNT
- 上传-混合高斯贝叶斯网络分类器，有数据可以直接运行，互相交流，互相学习。-Upload- Gaussian mixture Bayesian network classifier, the data can be directly run, exchange, learn from each other.
bayesian_networks
- 贝叶斯网络经典著作，对贝叶斯网络进行了清晰的讲解-Classic Bayesian networks, Bayesian networks for a clear explanation
FullBNT-1.0.4
- 贝叶斯网络matlab程序，最新的版本的程序-bayesian network matlab
javabayes
- 贝叶斯网络源代码,环境jdk1.4,工程文件为jbuilder9.入门程序.-Bayesian network source code, environmental jdk1.4, engineering documents for the jbuilder9. Start program.
bcs_ver0.1
- 贝叶斯压缩感知源代码，可以实用无线传感器网络、图像处理等应用领域。感兴趣的朋友可以下载哦。(Bayes compressive sensing is applied in wirless sensor networks, image processing and so on. If you are interested, you can dowload them.)
9cb364be040f6248013a44a3d343b582
- 贝叶斯网络的学习 。贝叶斯网络的学习分为：结构学习和参数学习。(Bias network learning. Bias network learning is divided into: structure learning and parameter learning)
bayesClassifier
- 基于贝叶斯网络推理相关算法，处理灰度图像(Bias reasoning algorithm)
matlab_infer_bayes
- matlab实现贝叶斯网络推理的一些信息，包括FullBNT包(Matlab implements some information about Bayesian network inference, including FullBNT packages)
smoke
- 对肺病因果关系搭建贝叶斯网络，实现肺病诊断过程。实例模型，matlab程序。(Build a Bayesian network for the causal relationship of lung disease to achieve the diagnosis process of lung disease. Instance model, matlab program.)
bnt-master
- 动态贝叶斯网络程序包，最新版，包含所有子函数和应用(Dynamic Bayesian network package, the latest edition, contains all sub functions and applications.)
k2
- 利用K2算法构建贝叶斯网络，可用于分类、预测等(Construction of Bayesian network by K2 algorithm)
BN例子
- 贝叶斯网络应用的一个例子，吸烟患病模型 1建立贝叶斯网络结构并制定条件概率表 2画出建立好的贝叶斯网络 3输入证据,进行推理 4显示推理结果(An example of a Bayesian network application, the smoking model 1 Establish a Bayesian network structure and establish a conditional probability table 2 draw a well-establis
贝叶斯网络在煤矿生产系统中的应用
- 一篇关于贝叶斯网络应用在煤炭安全生产领域的论文
Bayesian-Network-Structure-Learning-master
- 一般贝叶斯网络的构建是首先由相关领域的专家根据事物间的关系来确定出结构模型，即有向无环图，然后再利用其它方法确定每个节点的条件概率，但这样构建的网络模型无法保证其客观性和可靠性．(In general, the construction of Bayesian network is to determine the structural model, i.e. directed acyclic graph, by experts in related fields according to th
StructureLearningLibraries-master
- 贝叶斯网络又称信度网络，是Bayes方法的扩展，是目前不确定知识表达和推理领域最有效的理论模型之一。从1988年由Pearl提出后，已经成为近几年来研究的热点.。一个贝叶斯网络是一个有向无环图(Directed Acyclic Graph,DAG),由代表变量结点及连接这些结点有向边构成(Bayesian network, also known as belief network, is an extension of Bayes method and one of the most effec