recognition network的例句大全

Occluded Objects Recognition Using Multiple Features and Hopfield Neural Network

利用多种特征和Hopfield神经网络的有遮挡的目标识别

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Artificial Neural Network ( ANN) can approximate any complex nonlinear system, has good pattern recognition, adaptive learning and memory ability, such as associative memory.

人工神经网络（ANN）可以逼近任意复杂的非线性系统，具有较好的模式识别、自适应学习和记忆联想等能力。

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A compensative fuzzy classifier based on genetic algorithm wavelet neural network is presented to solve the problem like high-dimensional biometric authentication such as voiceprint and face recognition. The experiment result proved that the classifier could effectively improve the recognition rate comparing to the traditional Back-Propagation neural network.

针对声纹识别和人脸识别等高维的生物特征身份识别问题，本文提出了一种基于遗传小波神经网络的补偿模糊分类器，实验结果表明本分类器比传统的BP神经网络的效果好。

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The voiceprint recognition models are commonly constructed as parametric models, non-parametric model, artificial neural network and support vector machine model.

目前常用的声纹识别模型可分为参数模型、非参数模型、人工神经网络模型和支持向量机模型。

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Study of artifical neural network pattern recognition for common solvent

常用有机溶剂人工神经网络模式识别方法研究

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Application of artifical neural network approach to implement recognition and predict flow induced vibration system

流激振动系统的神经网络辨识和预报

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The Practice and Recognition on Major Information Management Serving Network Information Construction in New Socialist Countryside& Example for YuLin Normal University

信息管理专业服务新农村网络信息建设的实践与认识&以玉林师范学院为例

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From the verification results, the accuracy of recognition and the SYN Flood attack and defense capabilities have both been improved through the processing of the Network-flow-clean system.

从验证结果来看，系统对攻击者识别的准确率提高，同时也增强了对SYN Flood攻击的处理与防御能力。

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And then taking pattern recognition in the use of the BP neural network module of MATLAB.

然后应用MATLAB中BP神经网络模块进行模式识别。

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The classifier is a multi-module neural network, so the conflict between the scale of BP network and the complexity of recognition tasks can be transformed to the conflict between the scale of recognition system and the complexity of recognition tasks.

同时，分类器采用多神经网络模块结构，将以往BP网络规模大小与问题复杂性的矛盾转化为系统规模大小与问题复杂性的矛盾。

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BP-ANN and Principal Component Analysis ( PCA) coupled with BP-ANN were applied in the recognition of Fufang Gancao Pian manufactured in six factories, more than 90% of the samples were clustered without error, which indicates strong capability of neural network in complex pattern recognition.

分别用BP神经网络和主成分分析结合BP神经网络的方法对6个厂家的复方甘草片进行了分类识别，识别准确率大于90%，表现出较好的复杂类模式识别能力。

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Therefore asked for the toll highway network to provide precise path of the program is growing recognition and accurate identification of program research, key technology development work will certainly become the new hotspot network charges, difficult and urgent need to address the problems.

因此要求为高速公路联网收费提供精确路径识别方案的呼声日益高涨，精确识别的方案研究、关键技术的开发也必将成为联网收费工作新的热点、难点和迫切需要解决的问题之一。

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BP neural network for classification of face recognition system

人脸识别系统中的BP网分类方法

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The BP neural network is applied in face recognition. A face recognition model is established, and three training strategies i.e. sampling training, batch training and integrity training are studied.

将BP神经网络用于人脸识别，建立了人脸识别模型，研究了样本采样训练、样本批量训练和样本完整训练三种训练策略对识别率的影响。

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Embedded Hidden Markov Model and Neural Network for Face Recognition

嵌入式隐Markov模型和神经网络人脸识别

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Research on the Neural Network with Sparse RAM and Its Application to Face Recognition

基于稀疏RAM的神经网络及其人脸识别应用研究

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Face Recognition Based on The Approximate Neural Network with Sparse RAM and Statistical Pattern Recognition

基于稀疏RAM的逼近型神经网络与统计模式识别的人脸识别

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In view of urinary microscopic image recognition, a novel urinary sediment image segmentation approach based on cellular neural network ( CNN) was presented.

针对临床尿沉渣显微图像识别问题，提出了一种新的图像预处理方法和基于细胞神经网络（CNN）的分割算法。

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Football Robot Recognition Method Based On N-tuple Neural Network with the Rarefaction RAM

基于稀疏RAM的N-tuple神经网络的足球机器人识别法

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Most of the neural network handwritten digits recognition systems adopt a net-work with single structure.

用神经网络识别手写体数字，大多数采用的是单个的神经网络结构。

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