Wireless sensor networks is a special kind of self-organizing networks that has a wide range of potential applications.
无线传感器网络是一种特殊的自组织网络，具有广泛的应用前景。
A speech recognition method, which is based on self-organizing neural networks is presented.
建立了一种基于自组织神经网络的语音识别系统。
In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.
本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。
The wireless AD hoc networks have lots of characteristics such as having no centre, self-organizing and multi-skip route.
无线自组织网络具有无中心、自组织、多跳路由等特点。
Mobile AD hoc networks (MANETs) are self-organizing mobile wireless networks that do not rely on a preexisting infrastructure to communicate.
移动自组网是一种自组织的移动无线网络，它不依赖具有基础设施的网络结构进行通信。
The dynamic and lossy nature of wireless sensor networks communication poses major challenges to reliable, self-organizing multi-hop networks designs.
无线传感器网络通信的动态、易损耗特性为可靠自组多跳的网络设计带来了很大的挑战。
Then the autoassociative neural network is used to test the noise rekection abilities of the self organizing networks.
为验证网络的抗噪性能，引入了自联想神经网络。
A speech recognition method, which is based on self-organizing neural networks is presented.
这里介绍一种利用自组织神经网络识别曲线形态的方法。
Field networks use self-organizing wireless mesh radio frequency communications technology to deliver 99 percent reliable communications supported by proven robust security.
现场网络通过利用自组织无线网孔广播频率通信技术，可传送99%可靠的信号。
Wireless sensor networks with data-centric, self-organizing, can rapid deployment wait for a characteristic, very suitable for the application of some special occasions.
无线传感器网络具有以数据为中心、自组织、可快速部署等特点，非常适合一些特殊场合的应用。
The topic of wireless sensor networks, where self-organizing smart objects build ad-hoc networks and collect data from the environment, is covered in Sect. 13.5.
无线传感器网络的主题，其中自组织的智能对象建立自组织网络，并从环境中收集数据，将在13.5节中介绍。
Particle swarm optimization- support vector machine classification has slightly better result than self-organizing neural networks, but the complexity of network was increased.
粒子群优化支持向量机分类效果稍好，但是增加了网络的复杂度；
This paper presents a new algorithm for edge detection based on homogeneity and time adaptive self-organizing neural networks (TASOM).
本文提出了一种新的基于同质性和时间自适应自组织神经网络(TASOM)的边缘检测算法。
WSN are networks of wireless nodes that are deployed over a surveillance area and multi-hop self-organizing by wireless communication.
无线传感器网络就是由部署在监测区域内大量的廉价微型传感器节点组成，通过无线通信方式形成的一个多跳自组织网络。
WSN are networks of wireless nodes that are deployed over a surveillance area and multi-hop self-organizing by wireless communication.
无线传感器网络就是由部署在监测区域内大量的廉价微型传感器节点组成，通过无线通信方式形成的一个多跳自组织网络。
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