提出了一种粗糙模糊神经网络分类器的模型。
A model of rough fuzzy neural network classifiers is proposed.
提出一种基于RBF网络分类的多级中值滤波器。
A multistage median filter based on RBF classifier is proposed.
采用改进的BP网络分类器对CD 4细胞图像进行识别。
An improved BP neural network classifier is used to recognize CD4 cell images in this paper.
提出了BP网络分类器的设计方法、样本的选择及组织方法。
The method of BP network classifier design, the way of sample selection and organization are both delivered.
特征量被预处理后，输入到集成bP神经网络分类器中分类。
Finally, the features are preprocessed, then classified by integrating BP neural networks.
利用BP神经网络分类器及选择的特征值对缺陷进行了模式分类。
Pattern classification of flaw is carried out with BP neural network and the feature selected.
研究了一种用模糊集表示火箭发动机故障模式的神经网络分类器。
A neural network classifier that utilizes fuzzy sets as failure classes of a liquid propellant rocket engine is studied.
最后，设计神经网络分类器对汉字，字母，数字进行训练和识别。
Finally, design the neural network classifiers in order to train and recognize the character, letters and licenses.
盒维数的简单统计结果可以作为PQ神经网络分类器的输入特征量。
After simple statistics, the dimension can act as the input vector of ANN for PQ classification.
提出了一种用于船舶噪声分类的局域自适应子波神经网络分类方法。
In this paper, an efficient engineering classification of ship noises based on a local adaptive wavelet neural network is presented.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
最后，贝尔把目光转向了网络分类广告，在那里寻找能够收留罗里、奥兹和泥球的家庭。
"They're completely full, " said Bail, who ultimately turned to online classified ads to find homes for Rory, Ozzy and Mudpie.
结果表明，基于MOR的贝叶斯网络分类模型可以有效地减小信用评估风险。
Results demonstrate that the Bayesian network classifiers based on MOR are able to reduce effectively the credit scoring risk.
目前，在脑瘤图像模式识别领域，主要是运用神经网络分类器来做分类识别。
Now, in the fields of the pattern recognition of brain tumor images, the pattern classifications which are used widely are mainly the artificial neural networks classifications.
主要介绍了贝叶斯网络分类器中的TAN分类器的模型、构造方法及分类方法。
This paper mainly introduces the TAN classifier model, its building method and class method.
本文以统计理论为基础，主要讨论在计算机上用软件模拟实现的神经网络分类器。
Based on the theory of statistics, this dissertation investigates neural network classifiers realized with software simulation in the computer.
它主要有两种分类方法：一种为朴素贝叶斯分类，另一种为贝叶斯信念网络分类。
It is mainly of two kinds, Naive Bayesian Classification and Bayesian Belief Network Classification.
实验结果表明：算法优化后的神经网络分类器不但学习速度快，还能保证分类精度。
Experiment shows neural network classifier that is optimized by algorithm could not only have fast learning speed but also ensure accuracy of classification.
改进型BP神经网络分类识别系统在遥感图像的自动分类识别上有广阔的应用前景。
The modified BP Nerve Network Classify and Identify System has a very wide application foreground in TM images.
实验表明，基于BP神经网络分类器可以得到较好的结果，正确率可达到88%以上。
It is showed from the experiments that a satisfactory result is achieved from classifiers based on BP neural network, with the accuracy rate more than 88%.
提出了一种新的基于像元信息分解和神经网络分类相结合的城市绿地遥感信息自动提取方法。
A new automatic classification model of remote sensing image using pixel information decomposition combined with neural network classification is proposed in this paper.
该系统采用基于自组织神经网络分类器，其在线分类结果与人工配皮的一致性在84%以上。
The system adopts the neuro-network sorter based on self-organization. The consistence of the on-line sorting result with artificial sorting is above 84%.
提出了一种新的基于像元信息分解和神经网络分类相结合的城市绿地遥感信息自动提取方法。
It can be found that the mixed pixel decomposing is a good method to extract information from the remote sensing images with less spatial resolution.
本文基于学习矢量量化（LVQ）神经网络分类器，实现了舌象分析中的舌色、苔色自动分类。
Tongue color automatic classification, based on LVQ neural networks classifier, is proposed in this paper.
文章从实用、经济和高效的角度出发，提出了一种优化BP神经网络分类器的设计与实现方案。
This paper develops a method to design and perform an optimal BP network classifier, considered with the utility, economy and efficiency of the classifier.
为了验证特征的有效性，使用最近邻及概率神经网络分类器进行了目标识别，得到满意的识别率。
In order to validate character validity, use NearestNeighbor (NN) and probabilistic neural network (PNN) classification identify target, gain content identification probability.
本文对系统中的车牌定位和字符分割、特征提取、BP神经网络分类器等模块进行了较详细的研究。
In this paper, the system of license plate location and character segmentation, feature extraction, BP neural network classifier etc modules have had a more detailed research.
其中自组织神经网络分类器和粒子群优化支持向量机是本文新设计的两种运动想象EEG分类方法。
The self-organizing neural network classifier and particle swarm optimization-support vector machine were designed by author in this paper to use as classification method of motor imagery EEG.
最后，用子空间分类器和BP神经网络分类器构造了一个混联模型，用于手写英文字母和数字的识别。
A mix model with the subspace classifier and BP neural network classifier was realized, which is used in handwritten English letter and number recognition.
最后，用子空间分类器和BP神经网络分类器构造了一个混联模型，用于手写英文字母和数字的识别。
A mix model with the subspace classifier and BP neural network classifier was realized, which is used in handwritten English letter and number recognition.
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