Much of the work on digit recognition has been done in the neural network community, but more recently support vector machines have proven to be even better classifiers.
大部分数字识别的工作可以由神经网络来完成，但最近支持向量机也被证明可以在分类方面做得更好。
In the model, using APEX network extracts classification information and condenses vector space dimensions, making use of feedforward network establishes the classification recognition function.
在诊断模型中，应用APEX网络提取分类信息，压缩向量空间维数，利用前馈网络建立其类型识别函数。
The prediction method of network delays based on support vector machine (SVM) was put forward.
进而提出了基于支持向量机(SVM)的网络延时预测方法。
The output vector of the network is the indicator of both damaged members and damage extent.
网络的输出向量同时指示了损伤构件及其损伤程度。
A recursive least squares algorithm for linking weight between linear layers of RBF network is introduced, and a dynamic recursive algorithm of center vector is proposed.
介绍了RBF网络线性层权值的训练算法——递推最小二乘法，及中心向量的动态递推算法。
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
Information Hiding is a new network security technology, it adopted the confidential information to other hidden vector to transmit this is not easily found by others.
信息隐藏技术是一门新的网络安全技术，它通过把保密信息隐藏到其它载体中来传输，这样不等闲被别人发现。
Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.
针对文本自动分类问题，提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.
文本提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
In network information retrieval, based on document vector space, class, cluster, ranking and relevance feedback need to compute similarity.
在网络信息检索中，基于文档向量空间的分类、聚类、排序与相关性反馈需要计算相似度。
A network traffic anomaly detection mechanism is presented based on support vector machine (SVM).
提出了一种基于支持向量机的网络流量异常检测方法。
We bring forward a hybrid model that is based on a combination of keywords and concept. The hybrid model is built on vector space model and probabilistic reasoning network.
本文在向量空间模型和概率推理网络的基础上提出了一个基于关键词与概念相结合的混合信息检索模型。
In the process of measuring radio frequency absorb material by vector network analyzer, the impedance of rectanglecoaxial measuring device is mismatched and cause redundant reflection.
在使用矢量网络分析仪对射频吸波材料进行测试的过程中，由于矩形同轴装置阻抗不匹配，将引起不希望有的反射。
That the support vector machine network is applied to recognize the nonlinear fluorescence spectrum of impurities of different concentrations in air is proposed.
提出将支持向量机网络应用于含不同浓度杂质气体的非线性荧光光谱的识别。
Pattern recognition of support vector network with supervising learning is studied in this paper.
研究了有监督学习支持向量网络的的模式识别；
Objective: to investigate the potential of learning vector quantization (LVQ) artificial neural network tools for discrimination and forecasting of occurrent intensity of typhoid and paratyphoid.
目的：探讨学习矢量量化(LVQ)人工神经网络在伤寒、副伤寒发生强度判别与预测中的应用。
Some practical analysis methods for reliability vector of multilevel hierarchical and network aseismic engineering systems with intermediate state and failuredependence are established.
建立同时考虑中介状态和失效相关时多级递阶和网络抗震工程系统的可靠性向量模型及其实用分析方法。
The vector network analyzer is the special instrument that tests microwave and radio frequency devices, its application is very extensive in the wireless measurement field.
矢量网络分析仪是测试微波射频器件的专用仪器，在无线电测试领域应用非常广泛。
The application of neural network vector quantization in speech encoding is discussed.
讨论了在语音编码中，应用神经网络技术进行矢量量化的算法。
The learning vector quantization neural network has been integrated successfully with the case-based reasoning approach to reduce the case indexing space and to enhance the indexing efficiency.
将学习矢量量化神经网络集成在基于实例推理的故障诊断方法中，减小了实例搜索空间，提高了实例检索效率。
As an XML based network vector graphics format, SVG has many advantages and nicer prospects over other graphics formats.
SVG作为基于XML的文本化网络矢量图像格式，具有其他图像格式所不可比拟的优势和发展前景。
In this case, as a new generation of nonlinear vector network measurement technique, nonlinear vector network Analyzer (NVNA) emerges as times require.
为此，以非线性矢量网络分析仪(NVNA)为代表的新一代非线性矢量网络测量技术应运而生。
To measure the coupling function, this paper suggests the experimental setup which mainly consists of the vector network analyzer HP8510C.
给出了以矢量网络分析仪HP8510C为主要设备测量耦合函数的实验方法。
Based on measuring method of vector network analyzer, the experimental results of the wideband quadrature demodulator in the imbalance of amplitude and phase are given in this paper.
文中基于矢量网络分析仪测试方法，给出了该宽带正交解调器的幅相不平衡实验结果。
The results validate more validity of nonlinear error correction model on the wavelet neural network than linear vector autoregressive model, and forecast validly the nonlinear economy system.
研究证明，小波神经网络所建立的非线性误差校正模型有较好的预测效果，能够有效地预测非线性经济系统。
The TRL calibration was completed using 10 error correction models in the vector network analyzer. The accurate measurement of double ridge waveguide device was realized.
最后利用网络分析仪的10项误差修正原理完成了脊波导的TRL校准，实现了脊波导器件微波参数的准确测试。
Here, the HMM is employed to produce a best speech state sequence which is warped to a fixed dimension vector and the RBF neural network is used as classifier.
该方法首先利用HMM生成最佳语音状态序列，然后用函数逼近技术产生对最佳状态序列进行时间规正，最后通过RBF神经网络进行分类识别。
A new algorithm for modeling regression curve is put forward in the paper, it combines B-spline network with improved support vector regression.
将改进的支持向量回归机与B -样条网络相结合，提出了一种建立回归曲线模型的新算法。
At the same time, we used relevance feedback and machine learning used in image retrieval. K-NN, BP neural network and support vector machine classifiers were used in experiments.
同时本文将机器学习和相关反馈结合起来用于图像检索，在实验中使用了K -NN、BP神经网络和支持向量机分类器。
At the same time, we used relevance feedback and machine learning used in image retrieval. K-NN, BP neural network and support vector machine classifiers were used in experiments.
同时本文将机器学习和相关反馈结合起来用于图像检索，在实验中使用了K -NN、BP神经网络和支持向量机分类器。
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