pattern classification是什么意思，pattern classification的意思翻译、用法、同义词、例句

[计] 模式分类

Machine fault diagnosis is a problem of pattern classification in nature.

机械故障诊断本质上是一个模式分类问题。

The linear discriminant function is a basic method of the computer pattern classification.

线性判别函数法是计算机模式分类的一种基本方法。

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。

As a method of neural network, the self-organizing map(SOM) is an excellent tool for data mining, machine learning and pattern classification.

自组织特征映射作为一种神经网络方法，在数据挖掘、机器学习和模式分类中得到了广泛的应用。

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。

The neural network using in pattern classification problems mostly adopt multi-layer feed-forward neural network and use the back-propagation algorithm (BP algorithm).

用于模式分类问题的神经网络大多数采用多层前向神经网络，并且使用反向传播算法（BP算法）。

Several typical examples of pattern classification are studied with computer simulation.

对模式分类的几个典型例子进行了计算机仿真研究。

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。

A pre-grasp pattern classification method based on the computer vision and the improved fuzzy C-means clustering algorithm is introduced.

提出一种基于计算机视觉的，以及改进的模糊C均值聚类算法的机器人多指手预抓取模式分类方法。

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；

This paper is a summary about the feature extraction and selection, the traditional methods, together with its researching situation, of the pattern classification and recognition.

综述了模式分类与识别中的特征抽取与选择、模式分类与识别的传统方法及其研究状况，同时也简介了模式识别中并行处理方法的进展。

Its effectiveness has been testified by computer simulating experiment and it can be regarded as a promising machine learning for the pattern classification system.

该算法的有效性已由计算机仿真实验所证实，可被认为是一种很有发展前途的模式分类系统的机器学习算法。

The simulations of several typical problems such as n-pity, function approximation and pattern classification problem are made to verify the validity of the proposed method.

并通过对奇偶问题、非线性函数逼近问题、模式分类问题等的仿真，验证了所提出方法的有效性。

In this paper, we propose to use ART1 Network a neural network to do pattern classification and anomaly detection for linux process behavior, primary experiments suggest that this method is feasible.

本文利用ART1网络对进程的系统调用序列进行模式提取， 据此进行异常检测， 并以实验数据初步验证了该方法的可行性。

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。

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。

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。

Similar asface recognition, gender classification consists of three main parts: image preprocessing, feature extraction and pattern classification.

与人脸识别类似，性别分类主要分为图像预处理，特征提取和模式分类等三个部分。

The self-organizing feature maps (SOFM) neural network, which is widely used in pattern classification of data set, is applied to hydrological regionalization of Jiangsi and Fujian Provinces, China.

水文分区问题是模式分类问题的一种，本文采用已被广泛应用于模式分类问题中的自组织特征映射人工神经网络（SOFM网络）方法对江西和福建两省进行水文分区。

This thesis discussed mainly about its application on spectra library search and pattern classification, etc.

本论丈主要讨诊它在讲库检索和模式分类中的应用。

It is well known that, counter propagation network is fitful for pattern classification. According to such attribute, we present a face recognition algorithm based on counter propagation network.

根据对向传播网络适于模式分类的特性，提出了基于对向传播网络的人脸识别方法。

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。

The theory of SVM is studied at first, then an ameliorated RBF kernel function is presented, based on which an improved kernel function pattern classification method of SVM is put forward.

首先分析了支持向量机原理，随后引入一种改进的径向基核函数，在此基础上，提出了一种改进核函数的SVM模式分类方法。

Some key issues of pattern classification for Boolean vector data are put forward and studied in the dissertation, and research results are applied into TCM diagnosis scale development.

论文提出和研究了布尔向量数据模式分类中的关键问题，并将研究结果应用于中医学诊断量表研制当中。

Pattern classification is a kind of technology used in a lot of project fields including automatic control monitor, image recognition, troubled diagnose, supplies compound, medical diagnosis, etc.

模式分类是许多工程领域如自控监测、图像识别、故障诊断、物料配制、医疗诊断等领域广泛应用的一种关键技术。

An evolving neural network classifier using variable string genetic algorithm(VGA) was developed to study pattern classification for image and speech.

为研究图像和语音的模式分类，提出一种采用可变长度串遗传算法（VGA）的进化神经网络。

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。

The outlier identification is divided into two sequential parts: the robust day-load-curves cluster and the bad curve pattern classification.

负荷坏数据辨识是由负荷曲线聚类和坏数据曲线模式分类两个顺序的过程组成的；