Description: 自组织 Kohonen 映射程序，当一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。 -Kohonen self-organizing map process, when a neural network to outside input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is done automatically. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method. Platform: |
Size: 3700 |
Author:yybb |
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Description: 开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。-development environment : Matlab Brief Description : Self-Organizing Map model (Self-Organizing Map feature), a neural network that external input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is automatic End %. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method. Platform: |
Size: 731 |
Author:李洋 |
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Description: 开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。-development environment : Matlab Brief Description : Self-Organizing Map model (Self-Organizing Map feature), a neural network that external input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is automatic End %. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method. Platform: |
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Author:李洋 |
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Description: 本工具包主要是为对神经网络有兴趣人士提供的一种方便，灵活的学习和研究软件。
JNNT由java语言写成，具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览器就可以运行，无需安装任何大型附加软件。更方便爱好者通过internet远程访问资源。
支持反向传播算法(BP),LBG聚类法和径向基网络(RBF)
-This toolkit is for people interested in neural networks has provided a convenient, flexible learning and research software. JNNT by the java language, cross-platform with superior performance. Java applet demo version is more simple to just any machine can run a browser, without installing any large-scale add-on software. Enthusiasts through the internet more convenient remote access to resources. To support the back-propagation algorithm (BP), LBG clustering method and radial basis function network (RBF) Platform: |
Size: 32768 |
Author:林盈 |
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Description: 本文的题目是基于分形和遗传算法的人脸识别方法，对有限人群提出一种采用分形特征和遗传聚类的识别方法: 将图像分成很多小区域, 分别计算各个区域的分形特征, 以充分利用图像二维信息 同一个模式有多个样本, 通过遗传算法进行聚类以得到最优解实现不变性识别. 最后采用ORL 人脸图像库的一组图像对比了新方法、本征脸法和自联想神经网络方法, 结果表明该方法的识别率, 与本征脸法相似, 比自联想神经网络高.-The title of this article is based on fractal and genetic algorithms for face recognition method, a crowd of limited use of fractal characteristics and the identification of genetic clustering methods: the image is divided into many small regions, each region were calculated fractal characteristics, to take full advantage of two-dimensional image information with a model for a number of samples, through the genetic clustering algorithm in order to obtain the optimal solution to achieve invariant recognition. Finally, using ORL face image database of a group of image contrast of the new methods, eigenface law and auto-associative neural network methods, results show that the method of recognition rate, with the eigenface method is similar to auto-associative neural network than high. Platform: |
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Author:阳关 |
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Description: 图像聚类程序源码，运行正常，能实现数字图像、图形的聚类；同时，还采用了多种方法实现，有距离法，神经网络法等，值得参考-Image source clustering procedures, operating normally, to achieve digital images, graphics cluster At the same time, also adopted a number of ways to achieve, a far cry from the law, such as neural network, it is also useful Platform: |
Size: 225280 |
Author:陈艳平 |
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Description: Visual C++数字图像模式识别技术及工程实践(随书光盘）人民邮电出版社2003张宏林本书介绍了模式识别和人工智能中的一些基本理论以及一些相关的模型,包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等,同时结合模式识别中的一些经典问题,从多种不同的角度介绍了这些问题的解决思路。-Visual C++ Digital Image Pattern Recognition Technology and Engineering Practice (Book with CD-ROM)张宏林Posts & Telecom Press, 2003 book of pattern recognition and artificial intelligence, introduced some of the basic theory and some related models, including Bayesian decision-making, Linear Discriminant function, neural network theory, hidden Markov models, clustering technologies, combined with some of the classic pattern recognition problems, from the perspective of a variety of introduced ideas to solve these problems. Platform: |
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Author:swallow |
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Description: Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial neighborhood information into the standard FCM clustering algorithm. Two improved implementations of the k-nearest neighbor (k-NN) algorithm are introduced for calculating the weight in the SWFCM algorithm so as to improve the performance of image thresholding. Platform: |
Size: 293888 |
Author:silviudog |
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Description: We present a video caption detection and recognition
system based on a fuzzy-clustering neural network (FCNN) classifier.
Using a novel caption-transition detection scheme we locate
both spatial and temporal positions of video captions with high precision
and efficiency. Then employing several new character segmentation
and binarization techniques, we improve the Chinese
video-caption recognition accuracy from 13 to 86 on a set of
news video captions. As the first attempt on Chinese video-caption
recognition, our experiment results are very encouraging.-A spatial-temporal approach for video caption date Platform: |
Size: 466944 |
Author:段军伟 |
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Description: Research on Video Caption Detection and Extraction. The automatic video annotation is a key module of the video indexing and retrieval system,and the extraction and location of captions are important steps for video annotation.An automatic extraction algorithm for video caption by combining the wavelet transform and the fuzzy clustering neural network in presented.This algorithm is especially applicable to extracting and locating of Chinese captions.The theoretical reachs show that the proposed algorithm can achieve an accuracy in more than 90 in caption detection and location.After the selected characters in the region to identify with OCR technology,OCR recognition accuracy can reach 99 .-Research on Video Caption Detection and Extraction. The automatic video annotation is a key module of the video indexing and retrieval system,and the extraction and location of captions are important steps for video annotation.An automatic extraction algorithm for video caption by combining the wavelet transform and the fuzzy clustering neural network in presented.This algorithm is especially applicable to extracting and locating of Chinese captions.The theoretical reachs show that the proposed algorithm can achieve an accuracy in more than 90 in caption detection and location.After the selected characters in the region to identify with OCR technology,OCR recognition accuracy can reach 99 . Platform: |
Size: 13312 |
Author:段军伟 |
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Description: 聚类是把一组个体按照相似性归成若干类别，即“物以类聚”。它的目的是使得属于同
一类别的个体之间的距离尽可能的小而不同类别上的个体间的距离尽可能的大。聚类方
法包括统计方法、机器学习方法、神经网络方法和面向数据库的方法。
-Clustering is a group of individuals as to the similarity in accordance with a number of categories, that is, " 物以类聚." Its purpose is to allow individuals fall into the same category as far as possible the distance between the different categories of small and the individual as much as possible the distance between the major. Clustering methods, including statistical methods, machine learning, neural network methods and database-oriented approach. Platform: |
Size: 1422336 |
Author:qingpeng yu |
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Description: 手写数字识别,分为分类程序（模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器）和聚类程序（模糊聚类、遗传算法）-Handwritten numeral recognition, is divided into classification procedures (template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classifiers) and the clustering procedure (fuzzy clustering, genetic algorithms) Platform: |
Size: 757760 |
Author:沉浮沉 |
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Description: 《精通VisualC++数字图像处理模式识别技术及工程实践》介绍了模式识别和人工智能中的一些基本理论，以及一些相关的模型，包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等，同时结合模式识别中的一些问题，比如字符识别、笔迹鉴定、人脸检测、车牌识别、印章识别以及遥感图片、医学图片处理等内容，从多种角度，介绍了解决这些问题的思路-" Proficient in VisualC++ digital image processing, pattern recognition technology and engineering practice," describes the pattern recognition and artificial intelligence in some of the basic theory, and a number of related models, including Bayesian decision-making, linear discriminant function, neural network theory, hidden Markov Cardiff model, clustering technologies, combined with pattern recognition in a number of issues, such as character recognition, handwriting identification, face detection, license plate recognition, seals, and remote-sensing image recognition, medical image processing and other content, from several angles, introduced ideas to solve these problems Platform: |
Size: 11152384 |
Author:吴晶 |
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Description: 这是一个基本的数模题目的套路，分析数模聚类问题，例子是乳腺癌的诊断模型，过程为标准化数据，逐步回归，分析主要因素，聚类方法有距离法和神经网络法，均附有源码和解释说明-This is an essential topic of routine digital-analog, digital-analog cluster analysis problem example is the breast cancer diagnostic model, the process for the standardized data, stepwise regression, analysis of major factors, clustering methods from the method and neural network are with source code and explanations Platform: |
Size: 624640 |
Author:林云龙 |
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Description: 用matlabr2009编程实现神经网络模糊聚类算法，采用cell工具把整个程序分为以下几个部分-Programming neural network with matlabr2009 fuzzy clustering algorithm, using cell tools to the entire program is divided into the following sections Platform: |
Size: 1024 |
Author:霸王仔 |
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Description: This program to clustering skin based oon colour included white brown or black skin with java and naural network methdo Platform: |
Size: 677888 |
Author:Riska |
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Description: 1.elman神经网络对输入波形进行检测
2.设计具有3个神经元的Hopfield网络
3.建立自适应神经模糊推理系统对非线性函数进行逼近（正弦加滞后）
4.建立自适应神经模糊推理系统对非线性函数进行逼近（正弦多项式）
5.利用模糊C均值聚类方法将一类随机给定的三维数据分为三类(1.Detection of input waveform by elman neural network
2. design a Hopfield network with 3 neurons
3. establish adaptive neuro fuzzy inference system to approximate nonlinear functions (sine plus lag).
4. establish adaptive neuro fuzzy inference system to approximate nonlinear functions (sine polynomials).
5. fuzzy C means clustering method is used to divide a class of randomly given 3D data into three categories.) Platform: |
Size: 2048 |
Author:南风水忆 |
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Search - clustering with neural network