搜索资源列表
Copyoftest
- 用VB和MSBN实现线的一个贝叶斯网络的简单例子-VB and MSBN achieve a line of Bayesian network simple example
N_aloha_simulation
- 通信网络理论及应用：时隙Aloha及伪贝叶斯算法性能仿真-Communication Network Theory and Application: Slotted Aloha and pseudo-Bayesian algorithm performance simulation
gjgj
- 一种用于汽车发动机故障诊断的贝叶斯网络模型-A car engine fault diagnosis for the Bayesian network model
BayeK2
- 贝叶斯网络学习算法――k2算法，包括对贝叶斯网络结构的学习，最后生成网络-Bayesian network learning algorithms- k2 algorithm, including learning of Bayesian network structure, and finally generate network
bayesian
- 基于matlab开发的利用贝叶斯网络计算配电网可靠性-Distribution network reliability based on Bayesian network matlab development
Bayesian-Classify
- 基于贝叶斯网络的分类器实现，使用C++编写，不错，可以参考-Based on Bayesian network classifiers achieve C++ writing, yes, you can reference
Bayesian-CPP-code
- 最近在研究贝叶斯网络，上传一个C++的贝叶斯网络构建、学习和推理代码，可用，有样例图，大家一起学习-A recent study of Bayesian networks, upload a C++ of Bayesian network construction, learning and reasoning of code that can be used, the sample diagram, we will study together
Bayesian-in-CSharp
- 这个是用C#写的贝叶斯网络的实现，本人也在学习过程中，大家一起来研究-This is a Bayesian network implementation written in C#, I am also in the process of learning, we study together
Bayesian_Belief_Networks
- 对于给定的贝叶斯网络和数据，寻找最可能的决策。 -Find the most likely decision given a Bayesian belief network and data
bnt_sick
- 贝叶斯网络经典入门，建立一个简单的贝叶斯网络，并输入边缘概率，输入draw_graph（dag）可查看网络图。-a brief introduction of bayesian network
hingkun_v52
- 包括主成分分析、因子分析、贝叶斯分析，BP神经网络用于函数拟合与模式识别，最小二乘回归分析算法。- Including principal component analysis, factor analysis, Bayesian analysis, BP neural network function fitting and pattern recognition, Least-squares regression analysis algorithm.
fanfei_v46
- 利用贝叶斯原理估计混合logit模型的参数，基于人工神经网络的常用数字信号调制，关于非线性离散系统辨识。- Bayesian parameter estimation principle mixed logit model, The commonly used digital signal modulation based on artificial neural network, Nonlinear discrete system identification.
bp2
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。 在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。-Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, na
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)
banjo.2.0.1
- 贝叶斯网络是一种概率网络，它是基于概率推理的图形化网络，而贝叶斯公式则是这个概率网络的基础。贝叶斯网络是基于概率推理的数学模型，所谓概率推理就是通过一些变量的信息来获取其他的概率信息的过程，基于概率推理的贝叶斯网络(Bayesian network)是为了解决不定性和不完整性问题而提出的，它对于解决复杂设备不确定性和关联性引起的故障有很大的优势，在多个领域中获得广泛应用。(Bias network is a probabilistic network, which is a graphical
banjo.2.2.0
- Bayesian Network Inference with Java Objects (BANJO) v2.2.0
LEAD
- This toolbox contains programs for the multi-label classifier which explicitly exploits label dependency with Bayesian network structure.
贝叶斯网络工具包
- 贝叶斯网络工具包安装教程 贝叶斯网络参数过程中最大似然估计的详细过程(BAYESIAN NETWORK (Bayesian network parameters maximum likelihood estimation process detailed process))
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