Feature Map
- 网络特征映射;特征图;特征图像
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Inertial / geomagnetic integrated navigation need to base on the high precision and high resolution geomagnetic feature map . But , this is a complex and time-consuming task that drawing the geomagnetic map being adapted to the inertial / geomagnetic integrated navigation system by the geomagnetic measurement technology .
惯性/地磁组合导航需要以高精度、高分辨率的地磁特征图为基础,而利用测量手段绘制适用于组合导航的地磁特征图是一项复杂而且费时的工作。
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Self-Organizing Feature Map s ( SOM ), as proposed by Kohonen , has been used as a tool for data exploratory analysis by mapping high-dimensional data into a two dimensional feature map .
Kohonen自组织特征映射网络SOM因其能够将高维数据映射为二维特征图而广泛应用于数据探索分析活动中。
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A kind of fuzzy learning methods for self-organizing feature map networks
一种自组织特征映射网络的模糊学习方法
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Application and Analysis of Self - Organizing Feature Map
自组织特征映射网络的分析与应用
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3D Model Similarity Measurement Based on Geometric Feature Map
几何特征映射下的3维模型相似性匹配研究
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Fault Pattern Recognition Based on Gravitation Field of Self-organizing Feature Map
基于SOM特征映射图上引力场的故障模式识别
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Recognition of Pathway Elements Based on Self-Organizing Feature Map Algorithm
基于SOM算法的pathway元素的识别
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Application of Self-organizing Feature Map to Target Classification and Recognition
自组织特征映射网络在目标分类识别中的应用
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Experimental results show that this method is superior to self organizing feature map method .
实验结果表明,与自组织特征映射方法相比,此方法具有许多优点。
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Study and Implementation on Clustering Analysis of Ocean Documents Based on Self-Organizing Feature Map
基于自组织特征映射的海洋文献聚类分析的研究与实现
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Classifier of Modulation Recognition Based on Modified Self-organizing Feature Map Neural Network
基于改进的自组织映射神经网络的调制方式识别分类器
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Leak fault identification of rocket engine using self organizing feature map network
应用自组织网络识别火箭发动机泄漏故障
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Map Compression Based on Self-organizing Feature Map Neural Network
基于自组织特征映射神经网络的地图压缩
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Self-organizing feature map neural network and support vector machine methods have been provided .
识别方法主要运用了自组织特征映射神经网络和支持向量机技术。
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Simulation Studies of Analog Circuits Fault Approach Based on Self-Organizing Feature Map Neural Networks
应用自组织映射神经网络进行模拟电路故障诊断的仿真研究
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Fuzzy Self-Organizing Feature Map Networks for Segmentation in Reverse Engineering
利用模糊神经网络实现逆向工程中的区域分割
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Applications of Self-organizing Feature Map Networks to Chart Development of Complex Hydrocarbon Formation Recognition
自组织特征映射网络在复杂油气层识别图版研制中的应用
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Performance evaluation Non-equilibrium statistical mechanics Self-organization feature map ;
性能评价;非平衡统计力学;自组织特征映射;
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Clustering Based on Self Organizing Feature Map
基于自组织映照网络的聚类
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A Financial Evaluation of Self-organizing Feature Map Network and Random Simulation of Nonferrous Metals Companies
有色金属类上市公司财务评价的自组织随机模型
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Pattern recognition method of Remote Fault Diagnosis based on synchronous enlargement of Self-Organizing Feature Map .
基于SOM特征映射图的同步区域生长故障模式识别。
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A Novel Feedforward Artificial Neural Network Based on Self - Organizing Feature Map : Model and Algorithms
一种基于自组织特征映射的前馈式神经网络模型及其算法
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The method of auto-classification of reservoirs using the pattern classifier based on self-organizing feature map
基于自组织映射网络的模式分类器对储产层自动分类方法研究
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It is based on the learning algorithm of self-organizing feature map neural network , and proved in the paper .
根据自组织特征映射神经网络的学习算法,导出该网络的一个特点:相似模式激活的神经元的物理位置邻近,并对其进行了证明。
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A Method of the Discretization of Rough Set 's Continuous Attribute Based on the Self-organizing Feature Map
基于自组织特征映射的属性离散化方法
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Prediction melting temperature of DNA duplex by self-organization feature map ( SOFM )
双链DNA解链温度的特征自组织预测方法(英文)
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Based on the self-organizing feature map neural network , a rectangle mesh reconstruction approach and the training algorithm were developed .
建立了基于自组织特征映射神经网络的矩形网格重构模型及其训练算法。
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A rule induction model based on self-organizing feature map ( SOFM ) and genetic algorithm is proposed for quantitative data .
提出一种基于自组织特征映射网络(SOFM)和遗传算法的定量数据规则提取模型。
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The calculation example indicates that using self-organizing feature map neural network to sort is very nicety and credibility .
计算实例表明,用自组织特征映射神经网络用于分类是准确和可靠的。
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Based on the self-organizing feature map ( SOFM ) neural network this paper introduces a logging lithological identification technology .
为了解决测井岩性识别问题,引入具有较强的聚类和容错能力的自组织特征映射(SOFM)神经网络。