建立了一种基于自组织神经网络的语音识别系统。
A speech recognition method, which is based on self-organizing neural networks is presented.
提出一个层次自组织神经网络模型，并将其应用于基于事件识别的轨迹分布模式学习中。
This paper presents a hierarchical self organizing neural network model and its application in the learning of the trajectory distribution patterns for event recognition.
这里介绍一种利用自组织神经网络识别曲线形态的方法。
The paper introduces a method to identify the log curve shape using self-organization neural network.
介绍了一种利用自组织特征映射(SOFM)网络的聚类功能进行全天星图识别的方法。
A method that applies the clustering function of SOFM (Self-Organizing Feature Maps) network is proposed for autonomous star pattern recognition.
介绍了一种利用SOFM(自组织特征映射)网络的聚类功能进行全天星图识别的算法。
An autonomous star pattern recognition method using the tri-star clustering function of SOFM (Self-Organizing Feature Maps) network is described.
作者在本文中介绍了一种利用自组织神经网络进行测井相识别的方法。
The paper introduces a method to identify well logging facies using self organization neural network, which is a non-supervisor learning algorithm.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
本文应用多层前馈神经网络和自组织特征映射神经网络分别对简单目标和复杂飞机目标进行了分类识别。
The classification of simple and complex objects is investigated using the multiple layer forward neural network and the self-organizing feature map network.
本文应用自组织特征映照模型，以知识处理中的地势搜索原理为出发点，研究并提出了在线式设备状态自动识别系统的工作原理。
In the paper the principle of on-line automatic identification system of plant condition is studied appling the self-organization network and topography search method in knowledge processing.
分析讨论了语音识别研究中，自组织神经网络的设计原则以及不同的特征参数等方面对语音识别结果的影响。
The design principle of SOM and the effects of different feature parameters to speech recognition results are analyzed and discussed.
自组织特征映射人工神经网络对正常肝的识别正确率达84.8% ，对脂肪肝的识别正确率达90 .9%。
The neural network algorithm showed accuracy rate of 84.8% for normal liver and 90.9% for fatty liver.
本文提出基于单义域邻接图的扫描工程图样自组织智能识别。
Scanned engineering drawings are self- organizationally recognized based on Primitive Region Adjacency Graph (PRAG).
这里介绍一种利用自组织神经网络识别曲线形态的方法。
This paper presents a hierarchical self organizing neural network model and its application in the learning of the trajectory distribution patterns for event recognition.
自组织特征映射(SOM)神经网络能通过自组织有效地提取出各特征参数间的内在特征并映射到分类模板上，它可以用于各种模式识别问题。
Self organizing feature map (SOM) network can extract the internal features of parameter by self organizing and reflect them on the classified map. It can be used in problems of pattern recognition.
这里介绍一种利用自组织神经网络识别曲线形态的方法。
A speech recognition method, which is based on self-organizing neural networks is presented.
STDMA是AIS(船舶自动识别系统)中的关键技术，它采用时隙动态预约的自组织方式工作。
The dynamic slot reservation selection method is adopted in STDMA, the key technique in Automatic Identification System (AIS).
船舶自动识别系统（AIS）的关键技术是STDMA，它采用信道时隙动态预约的自组织方式工作。
The dynamic slot reservation selection method is adopted in STDMA, which is the key technique in AIS.
船舶自动识别系统（AIS）的关键技术是STDMA，它采用信道时隙动态预约的自组织方式工作。
The dynamic slot reservation selection method is adopted in STDMA, which is the key technique in AIS.
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