搜索资源列表
example_DAGlearn
- 程序是基于图论 , 对后验概率提取参数,使得很好的描述贝叶斯网络中变量之间的依赖关系-Program is based on graph theory, the extraction parameters on the posterior probability of such a good descr iption of the dependencies between variables in a Bayesian network
dynamic-path-planning
- (不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级概率表示，与 MPC 路径规划算法相结合，得到基于 DBN
bnt
- 这是一个贝叶斯网络工具箱。贝叶斯网络能实现正向和反向推理，具有处理相关性的功能-It is a Bayesian network toolbox. Bayesian networks can achieve forward and backward reasoning, having treated correlation function
xm_SimulateSamples_fromBNT
- 根据贝叶斯网络结构bnt，随机产生nsamples条样本集，样本集的数据缺失率为miss_perc-BNT based on bayesian network structure, random generation nsamples sample set, data loss rate is miss_perc sample set
Bayesian_Statistical_Methods
- 一本贝叶斯方法入门级别的书，内容详尽，简单易懂，适合初学者使用-An introduction of bayesian network, very useful when you are interested in this method
Bayes
- 利用贝叶斯网络对IRIS数据（鸢尾花）进行分类，含原始数据-Bayesian network IRIS data (iris) are classified, including raw data
FullFlexBayesNets
- 动态贝叶斯网络算法的计算和改进，包含测试例子-The improvement of full flex Bayesian Network
bayes
- 首先对数据进行拆分，分为测试集与训练集，通过训练集进行贝叶斯网络的建模，最后利用建立的模型进行预测或分类任务的R语言代码-First, the data is split into a training set and test set, Bayesian network modeling through the training set, and finally the use of the model to predict or classify tasks R language code
Neural-network-algorithm
- 神经网络算法，包含贝叶斯估计,统计模式识别算法-Neural network algorithm, Bayesian estimation, and so contain
PNN
- A probabilistic neural network (PNN) is a feedforward neural network, which was derived the Bayesian network and a statistical algorithm called Kernel Fisher discriminant analysis-A probabilistic neural network (PNN) is a feedforward neural network,
K2
- 从数据样本中随机选取一本分数据，运用K2算法进行贝叶斯网络结构学习-A sub-data randomly selected the data samples, using K2 Bayesian network structure learning algorithm
bayes
- 关于贝叶斯网络的JAVA源代码 应用于分类问题的学习和研究-Bayesian network on the JAVA source code
bpNeural-network-instance
- 例1 采用动量梯度下降算法训练 BP 网络。 例2 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。-Example 1 uses the momentum gradient descent algorithm to train the BP network. Example 2 uses the Bayesian
贝叶斯网工具箱
- 贝叶斯网的工具箱，很实用，可以直接运行。(Bayesian network toolbox, very practical, you can run directly.)
DBN-master
- 动态贝叶斯网络（Dynamic Bayesian Network, DBN），是一个随着毗邻时间步骤把不同变量联系起来的贝叶斯网络。这通常被叫做“两个时间片”的贝叶斯网络，因为DBN在任意时间点T，变量的值可以从内在的回归量和直接先验值（time T-1）计算。(Dynamic Bayesian Network (DBN) is a Bayesian network that links different variables with adjacency time steps. This is
FullBNT-1.0.7
- 用于贝叶斯网络的MATLAB开源包，其中包括贝叶斯网络构建、学习、推理的各种函数。(For the Bayesian network of MATLAB open source package, including Bayesian network construction, learning, reasoning of the various functions.)
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
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.)