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考虑智能水下机器人在水下行走,受二维海流的影响程度-An improved self-organizing map-based approach is proposed for multiple autonomous underwater vehicle (multi-AUV) system to complete the allocation of targets and path planning in the paper. Each target is to be visited by o
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Self Organizing Map for structured data, already compiled for Mac Os
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VC++实现的自组织映射SOM方法图像分类聚类算法源代码-Self-organizing map SOM method of image classification clustering algorithm source code in VC++
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This the presentation of KohonAnts (KANTS), an hybrid Ant Colony and Self-organizing Map algorithm for clustering and pattern classification.
-This is the presentation of KohonAnts (KANTS), an hybrid Ant Colony and Self-organizing Map algorithm fo
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In this work, Artificial Neural Networks are employed in a Fault Detection and Isolation scheme for robotic manipulators. Two networks are utilized: a Multilayer Perceptron is employed to reproduce the manipulator dynamical behavior, generating a res
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k均值聚类及自组织映射(SOFM)算法应用
二维模式矢量的分类-k-means clustering and self-organizing map (SOFM) algorithm is applied two-dimensional mode vector classification
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自组织映射(SOM)已成功处理的欧式旅行的鹅岭推销员问题(TSP)。通过将其邻域保持财产和
凸包属性数值模拟TSP,我们引入了一个新的SOM如神经网络,称为前panding的SOM(ESOM)的。在每一个学习的迭代,ESOM提请接近的兴奋神经元
输入的城市,并在此期间,推压它们向凸包ofcities合作。
ESOM可能收购邻里保护财产和凸包的属性
的TSP,因此它可以产生接近最优的解决方案。从理论上分析了其可行性
和经验。一个的系列ofexperiments进行合成和基准的T
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This Matlab code for clustering using Self Organizing Map-This is Matlab code for clustering using Self Organizing Map
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som matlab source code from http://chi3x10.wordpress.com/2008/05/08/som-self-organizing-map-code-in-matlab/
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自组织映射神经网络som算法的源程序 matlab-Self-organizing map neural network SOM algorithm matlab source
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采用自组织映射算法(SOM)设计码书,达到全局最优,同时采用组合码字和图像块动态划分等优化算法,最终实现的码书性能比LBG算法有很大提高。这是中科大视频技术的final project,附有最终版的report和presention。-Using self-organizing map algorithm (SOM) designed codebook, the global optimum, while using a combination code word and image block
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A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional)
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TGSOM一种用于数据聚类的动态自组织映射神经网络,一篇不错的论文-Dynamic TGSOM for data clustering self-organizing map neural network, a good thesis
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自组织映射SOM的主要目的是将任意维数的输入信号模式转变为一维或者二维的离散映射,并且以拓扑有序的方式自适应实现这个变换。呈现给网络的每一个输入模式,通常包含面对平静背景的一个局部化活动区域或“点”。这个点的位置和性质通常随输入模式的实现不同而不同。因此输入网络中所有神经元应经历输入模式的足够次数的不同实现,确保有机会完成恰当的自组织过程。自组织映射的形成主要有三个过程:竞争、合作、突触调节。-The main purpose of self-organizing map SOM is the
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this code is used to train a self organizing map for a 3d shape
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自组织映射(SOM)的相关使用程序,内有说明文档,有简单demo可以用来演示和理解程序。-code about self-organizing map, document of how to use are inside,and demo inside
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last som methods for clustering hope usefu-last som methods for clustering hope usefull
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This package implements vectoriel quantization according Self Organizing Map paradigm
It allows to :
1. generate a codebook training images set
2. reconstruct a test image according to the generated codebook
3. ute the Peak Signal to Noise R
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已知一组二维模式矢量如下(20个),利用k均值聚类算法将模式集分类,并计算出聚类中心。利用输入层为2个神经元,输出层结构为7*7方阵的自组织映射(SOFM)对同样模式进行聚类-Given a set of two-dimensional pattern vector as follows (20), the use of k-means clustering algorithm to classify the pattern set, and calculate the cluster cent
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SOM神经网络,Self-Organizing Map 的缩写,即自组织映射。
1981年芬兰Helsink大学的T.Kohonen教授提出一种自组织特征映射网,简称SOM网,又称Kohonen网。 Kohonen认为:一个神经网络接受外界输入模式时,将会分为不同的对应区域,各区域对输入模式具有不同的响应特征,而且这个过程是自动完成的。自组织特征映射正是根据这一看法提出来的,其特点与人脑的自组织特性相类似。
由于它的强大功能,多年来,神经网络在数据分类、知识获取、过程监测、故障识别等领域
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