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- Belief Network Classifier 信度网分类器
- RISO: distributed, heterogeneous belief networks. 分布式的,异质的信念网络。
- This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space. 本篇论文提出一个类神经网路分类器来学习多类的分离模糊资讯。
- This paper presents an IR model that extends the basic belief network model with synonym-based evidence. 以同义词为证据扩展基本信念网络模型,得到一个扩展的信念网络检索模型。
- These instantaneous frequencies are taken as the input pattern to train the Neural Network classifier. 这些瞬间频率可以被当作样本输入类神经网路分类器。
- BAN,i. e. BN augmented Na?ve-Bayes,is an augmented Bayesian network classifier,whose accuracy is easy to improve by the Boosting technique. BAN(BN augmented Na?ve-Bayes)是一种增强的贝叶斯网络分类器;通过提升很容易提高其分类性能.
- In this paper,a new approach to segmenting flame images in kiln based on multiple BP network classifier combination is proposed. 针对这一问题,本文提出了基于多个BP神经网络分类器组合的回转窑火焰图像分割方法。
- An adaptive wavelet network classifier for vibration fault diagnosis of steam turbine-generation is proposed based on theory of adap tive wavelet network( AWN). 基于自适应小波网络理论,构造了一个应用于汽轮发电机组振动故障诊断与识别的自适应小波网络分类器。
- Combining distinct sources of evidential knowledge to expand belief network for information retrieval (IR) is a current and important research direction. 摘要归并不同证据资源扩展用于信息检索的信念网络是当前一个重要的研究方向。
- An adaptive wavelet network classifier for vibration fault diagnosis of steam turbine-generation is proposed based on theory of adap tive wavelet network (AWN). 基于自适应小波网络理论,构造了一个应用于汽轮发电机组振动故障诊断与识别的自适应小波网络分类器。
- According to MOR,they were tested using 10-fold cross validation with two real world data sets,and compared with Bayesian network classifier based on MPE. 在两个真实数据集上以MOR用10层交叉验证对贝叶斯网络信用评估模型进行了测试,并与最小错误概率准则MPE的贝叶斯网络分类器的结果进行了对比。
- The vibration fault diagnosis of hydro-turbine generating unit is investigated by the method of spectrum analysis and wavelet neural network classifier. 摘要提出应用频谱法和小波神经网络对水电机组的振动故障进行诊断。
- A belief network is a probability model defined on an acyclic directed graph; distributed means nodes can be on different hosts, and heterogeneous means allowing different conditional distributions. 一个信念网络是定义在一个非循环有向图上的概率模型;分布性指节点可以在不同的主机上,异质性指可以允许不同的条件分布。
- RISO: distributed belief networks - RISO: distributed, heterogeneous belief networks. 分布式的,异质的信念网络。
- A learning algorithm of compressed candidates based on Bayesia belief network is developed to solve slow running problem of traditional Bayesian belief network constructing algorithm. 摘要针对传统算法分类速度较慢的不足,改进传统算法中候选变量的搜索方式,提出用依赖度量函数测量变量之间的依赖程度,得出压缩候选的贝叶斯信念网络构造算法。
- This method combines a genetic algorithm with an artificial neural network classifier, such as back-propagation( BP) neural classifier, radial basis function( RBF) classifier or learning vector quantization( LVQ) classifier. 此方法结合基因演算法与类神经分类器,如倒传递分类器、射基底函数分类器以及学习矢量量化分类器。
- Firstly, used the Bayesian belief networks (BBN), the risks which had influenced the reliability of soft were ana1yzed. 首先采用贝叶斯信仰网络对影响软件可信性的风险进行了分析;
- First, the cascaded-correlation algorithm was modified using cross validation, and then based on the complexity metrics of software modules, the multilayer neural network classifier was designed to identify critical modules of software. 首先利用交叉确认改进了级联相关算法,设计了多层前馈神经网络作为模式分类器,以软件模块的复杂性度量作为特征向量识别软件中的关键模块。
- It improves the process group management and inter process communication facilities, and puts forth a DSM (distributed shared memory) subsystem based on belief network, which is used to manipulate C++ global variables. 它完善了组管理机制和进程通信机制 ;提出了一个基于信度推理网络的分布共享内存( distributed shared memory;简称 DSM)机制以管理 C++公共变量 .
- We introduce an automatic fingerprint classification system, where filters are based on two types of Fourier Transform(FT)for enhancing fingerprint images, and a probabilistic neural network classifier is used. 本文介绍了一个基于两种傅氏变换进行图像增强,用概率神经网络进行指纹分类的指纹自动分类系统,又称AFCS(Automatic Fingerprint Classification System)。