snn

Application of SNN arithmetic for measuring information processing

SNN算法在测量信息处理中的应用

SNN has deterministic network structure and interpretable network behavior .

SNN的网络结构容易确定、网络行为易于理解，但是预测精度较低。

Image retrieval Similarity measurement Affine invariance synergetic neural net ( SNN ) .

标签图像检索相似性度量仿射不变性协同神经网络。

This approach improves SNN similarity matrix and combines it with spectral bisection method to find the community structure .

该算法对传统的SNN相似度矩阵进行改进，然后将改进后的矩阵与谱平分算法相结合来寻找网络中的社团结构。

A similarity measurement for affine invariance retrieval based on synergetic neural nets ( snn )

基于协同神经网络的仿射不变性检索相似性度量方法（英文）

This paper proposes an incremental algorithm , ISNN which is based on density-based clustering algorithm SNN .

目的提高算法效率，减少磁盘访问次数，提出一种基于密度的高效增量聚类算法ISNN。

Researching result indicate , using SNN arithmetic processing the issue that it being wipe off noise and data fill of measuring information is very effective .

仿真实验表明，应用SNN算法处理存在的噪声干扰和数据残缺等测量信息问题的效果良好。

This paper presents a new method of text clustering by using the latent semantic index ( LSI ) and self-organizing neural network ( SNN ) .

根据隐含语义索引（LSI）理论和动态自组织映射神经网络理论，提出了一种文本聚类的新方法。

Unlike static NN 's ( SNN 's ) to approximate nonlinear components in the dynamic system , DNN 's are used to approximate the whole dynamic system .

不同于静态神经网络自适应控制，动态神经网络自适应控制中神经网络用于逼近整个采样数据非线性系统，而不是动态系统中的非线性分量。

The results show that the SNN tectonic stress field with horizontal action of compression in the source area and nearby acts as the major in the whole development of the sequence .

结果表明，整个序列发展过程中，震源区及附近，构造应力场以南东东方向、水平作用为主的压应力场为主。

Conclusion Findings of both plain and dynamic enhanced MRI can correlate well with pathologic characteristics and are highly specific for diagnosis of SNN obviously superior to US and CT .

结论平扫加动态增强MRI能良好反映孤立性坏死结节的病理特征，其表现具高度的诊断特异性，明显优于超声和CT。

The following new fundamentals of algorithm have been concluded by combining SNN algorithm with LOF algorithm : ( 1 ) to set up a similarity-matrix ;

方法结合SNN算法和LOF算法给出新算法-SNNLOF算法原理：（1）建立相似度矩阵；

Due to the shortages of optimization algorithms available in synergetic neural network ( SNN ), an algorithm of parameters optimization on immunity clonal algorithm ( ICA ) was proposed here .

针对现有协同神经网络参数优化方法的不足，提出了一种基于免疫克隆算法的参数优化方法。

Methods Conventional ultrasonography ( US ) and contrast enhanced ultrasonography ( CEUS ) examination were performed in 8 patients with pathologically proven solitary necrotic nodule ( SNN ) of liver .

方法对8例肝脏孤立性坏死结节进行常规超声及超声造影检查，全部病例均经病理证实。

In1987 the Dutch Nunchaku Foundation ( SNN , Stichting Nunchaku Nederland ) was founded .

1987年，荷兰双节棍基地（SNN）成立了。

The first level classifier is based on SNN , in which a novel prototype selection algorithm on the basis of texture features instead of pixels is presented and the second level the texture segmentation algorithm based on the global texture spectrum .

第二层分类器基于全局纹理谱的纹理分割算法。

Because the prototype patterns of synergetic neural network ( SNN ) has the ability of superposition of information , the new algorithm can modify the prototype patterns using the pattern , of which the recognition rate is the lowest during training as the feedback .

该算法利用协同神经网络中的原型模式具有信息的可加性，将学习中误识率最高的模式作为反馈量来修正原型模式。

A one-layer and a two-layer feedforward SNN are used to analyze the activity of motor cortical neurons . The results show that the SNN algorithm is a feasible to analyze the timing of spike trains , and the multiple-layer network has higher computational power .

通过单层和二层前向SNN分析运动皮层神经元活动的结果表明，SNN算法用于提取神经元脉冲序列中的时间信息是可行的，并且多层网络具有更高的计算能力。

Since NN , JT , and SNN have been enabled to passphraselessly ssh to all other nodes , and all map / reduce jobs will be submitted on JT , choose JT as the central node to collect all nmon data .

因为已经让NN、JT和SNN能够通过ssh无需密码地访问所有其他节点，而且将在JT上提交所有map/reduce作业，所以选择JT作为中心节点收集所有nmon数据。