The essential of project risk evaluation is pattern classification.
项目风险评价其实质是模式分类问题。
Feature selection performs an important role in pattern classification.
特征选择在模式分类中扮演了一个重要的角色。
A pattern classification technique is then used to validate the estimation.
一种模式分类技术，然后用于验证估计。
This algorithm improves the recognition rate of pattern classification algorithms.
本算法提高了模式分类算法的辨识率。
Pattern classification was an important part of the RBF neural network application.
模式分类是RBF神经网络应用的一个重要方面。
Gas turbogenerator fault diagnosis can be treated as a pattern classification task.
燃气轮发电机组的故障诊断，实质上是一个模式分类问题。
Image segmentation can be regarded as the problem of two class pattern classification.
图像分割可视为两类模式分类问题。
Pattern classification of flaw is carried out with BP neural network and the feature selected.
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。
Using the theory of fuzzy sets the membership function is adopted for the four tone pattern classification.
应用模糊集合理论，构成隶属函数对四声进行模式分类。
The eight-dimension features have different effect in pattern classification process due to different characters.
由于每项特征的特异性不同，在模式分类中起到的作用也不同。
The infrared pattern recognition system consists of image preprocessing, feature extraction and pattern classification.
红外图像模式识别系统，由图像预处理、特征提取及模式分类组成。
The underline idea is to use the feature information sufficiently and to design the DTD with pattern classification method.
主要的思想是充分地利用特征信息以及用模式识别方法来设计DTD。
The ratio reflects the degree of anisotropy of trabecular patterns, and is successfully used in our pattern classification.
比值反映了骨小梁模式各向异性的程度，并被成功用于模式分类。
Most pattern classification algorithms rely heavily on the shape of the signal, which can vary considerably with frequency.
因为大多数模式分类算法与信号的形状密切相关，而信号的形状很大程度上随检测频率的变化而变化。
YANG Jie. ECG signal detection and pattern classification methods of research [d]. Hangzhou: Hangzhou Normal University, 2014.
[5]杨杰。心电信号的检测与模式分类方法的研究[D]。杭州：杭州师范大学，2014。
It has payed great attention to effective training of feedforward neural networks when they are used for pattern classification.
前向网络在用于模式分类时，其网络的有效训练一直是一个受到关注的问题。
WSD is usually considered as an issue about pattern classification to study, which feature selection, is an important component.
通常把词义消歧作为模式分类问题进行研究，其中特征选择是一个重要的环节。
Face recognition normally be regarded as have three processes that are face detection, features extraction and pattern classification.
人脸识别一般分为人脸检测、特征抽取和模式分类三个部分。
This paper proposes an algorithm of image segmentation based on pattern classification according to the features of soil microphotographs.
该文针对土壤显微图片特征，基干模式分类对图象实施分割；
Then damage identification of severity of bolt looseness was studied by utilizing the pattern classification function of the BP neural network.
然后利用BP神经网络的模式分类功能，进行了螺栓松动程度的损伤识别研究。
Pattern classification is an essential subject in machine learning, and is also a universal and widespread task in the computer application area.
模式分类是机器学习领域重要的研究内容，也是计算机应用领域中普遍存在的问题。
The proposed network overcomes the weakness of globally coupled mapping network but has the same ability in pattern classification as the latter.
一维双向耦合神经元网络克服了全局耦合网络的缺点但同样具有全局耦合映象的分类功能并可以推广到许多信息处理应用中。
A cascade neural network composed of double-layer radial basis function (RBF) and linear basis function (LBF) is proposed for pattern classification.
提出了由两层径基函数(RBF)和两层线性基本函数(LBF)网络组成的串联神经网络模式分类方法。
The fault diagnosis of power equipment can be looked as pattern classification problem. Each fault of power equipment is corresponding to a set of traits.
电力设备的故障诊断可以看成一个模式分类问题，每一个电力设备故障对应一组特征集。
This paper presents a new medical case analysis method which is based on the pattern classification technology, and deduces the type of illness from symptom.
本文将模式分类技术应用于医案数据的分析中，从已知的病症推断出所属的证型。
In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively.
本文主要研究了矩函数和神经网络分别在图像识别的特征提取和模式分类方面的应用。
However, these responses are still possibly useful for such applications as associative memory and pattern classification because of robustness in output precision.
然而，由于输出精度的鲁棒性，这些响应仍可能对结合存储器和模式分类的应用有效。
However, these responses are still possibly useful for such applications as associative memory and pattern classification because of robustness in output precision.
然而，由于输出精度的鲁棒性，这些响应仍可能对结合存储器和模式分类的应用有效。
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