Description: 包含五篇文章：
多目标运动图像识别算法.pdf
计算机视觉方法与应用.pdf
运动目标图像识别与跟踪系统的研究.pdf
支持向量机在人脸识别的应用.pdf
重建图像.pdf-Contains five articles: multi-target motion image recognition algorithm. Pdf method and application of computer vision. Pdf moving target image recognition and tracking system. Pdf support vector machine in the application of face recognition. Pdf reconstructed image. Pdf Platform: |
Size: 3522560 |
Author:zhoushiji |
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Description: 使用支持向量机对仿人感知器建模，并给出了其在不规则图形面积测量中的应用实例，附有120幅图片及其面积，前100幅用作训练，后20幅用作检验，图片文件默认路径为C:\MATLAB7\work\P100，即应将文件解压到默认路径C:\MATLAB7\work，使用其他路径只需将程序中的图片路径替换即可。-The use of support vector machine perceptron on humanoid modeling, and gives the graphics area in the irregular application of measurement, accompanied by 120 images and its size, 100 for training before and after testing for 20 , the default path for the image file C: MATLAB7workP100, that should extract the files to the default path C: MATLAB7work, the use of other procedures in the path can simply replace the image path can be. Platform: |
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Author: |
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Description: 该文章介绍了支持向量机在图书馆建设中的应用和研究-The article introduces the support vector machine in the library building in the application and research Platform: |
Size: 216064 |
Author:李东 |
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Description: 支持向量机(SVM)的VC源代码，内有应用手册和应用实例。-Support Vector Machine (SVM) of the VC source code, with the application of manuals and application examples. Platform: |
Size: 461824 |
Author:Xiaojun Tang |
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Description: 支持向量机在目标分类中的应用,对支持向量机初学者应该有帮助-Support Vector Machine Classification in the target application of support vector machine for beginners should be helpful Platform: |
Size: 95232 |
Author:plazht |
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Description: 两本神经网络方面的经典电子书
人工神经网络导论.pdf
人工神经网络实用教程.pdf
神经网络是智能控制技术的主要分支之一。本书的主要内容有：神经网络的概念，神经网络的分类与学习方法，前向神经网络模型及其算法，改进的BP网络及其控制、辨识建模，基于遗传算法的神经网络，基于模糊理论的神经网络，RBF网络及其在混沌背景下对微弱信号的测量与控制，反馈网络，Hopfield网络及其在字符识别中的应用，支持向量机及其故障诊断，小波神经网络及其在控制与辨识中的应用。-Two neural networks classic book Introduction to Artificial Neural Networks. Pdf Practical Guide artificial neural network. Pdf neural network is the intelligent control technology, one of the main branch. The main contents of this book are: the concept of neural networks, neural network classification and learning methods, the former to the neural network model and its algorithm, the improved BP network and its control, recognition modeling, based on genetic algorithm neural network, based on fuzzy the theory of neural network, RBF network and its application in the context of chaotic signals of weak measurement and control, feedback network, Hopfield Network and Its Application in character recognition, support vector machine and its fault diagnosis, wavelet neural network and its application in control and identification applications. Platform: |
Size: 7793664 |
Author:梁健 |
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Description: 支持向量机应用的实例,希望对大家有用!支持向量机应用的实例,希望对大家有用!-Application of support vector machine example, in the hope that useful! Support vector machine Examples of applications, in the hope that useful! Platform: |
Size: 3072 |
Author:liyan |
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Description: 支持向量机在模式识别和分类中应用广泛，
小波方法的多尺度特性也众所周知。
本文将小波和支持向量机相互结合实现特征提取。-Support vector machine in pattern recognition and classification of the application of a wide range of multi-scale wavelet method is also well-known characteristics. In this paper, wavelet and support vector machine combined with each other to achieve feature extraction. Platform: |
Size: 632832 |
Author:单昊 |
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Description: ：将基于统计学习理论的支持向量机方法引入到测井资料处理和解释中。在测井岩性识别方面研
究发现，支持向量机方法克服了神经网络的固有缺陷，提供了一种识别岩性的新方法。应用效果表明
该方法具有适应性强、识别精度高的优点-: Will be based on statistical learning theory of support vector machine approach to the introduction of logging data processing and interpretation. Lithology identification in the logging study found that support vector machine neural network to overcome the inherent shortcomings, provides a new method of lithology identification. Application results show that the method has strong adaptability to identify the advantages of high accuracy Platform: |
Size: 209920 |
Author:刘多 |
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Description: 支持向量机导论，是用英文版翻译过来的，详细介绍了SVM的原理和应用-An Introduction to Support Vector Machine, is translated in English, detailing the principles and application of SVM Platform: |
Size: 3718144 |
Author:汲平 |
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Description: FSVM在人眼状态识别中的应用,一种结合gabor滤波和模糊支持向量机进行人眼状态检测的方案-FSVM in the human eye pattern recognition application, a combination of gabor filtering and fuzzy support vector machine is the human eye state inspection programs to Platform: |
Size: 158720 |
Author:铁军 |
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Description: 模式识别中支持向量机的应用。在图像识别，多维数据分类中有很好的应用。-Pattern recognition Support Vector Machine. In image recognition, multi-dimensional data classification has a good application. Platform: |
Size: 221184 |
Author:吴翔 |
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Description: 优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。-first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized Platform: |
Size: 334848 |
Author:NBB |
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Description: 一种支持向量机的库的应用介绍，LIBSVM，介绍了其原理，背景，在SVM中的应用等-A support vector machine to the application of the library, LIBSVM, introduces the principles, background, in the application of SVM in Platform: |
Size: 216064 |
Author:张卫 |
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Description: 支持向量机模型研究及应用，本文所做的工作主要在如下几个方面：
1)运用模糊集理论(FST)和概率理论对支持向量机进行研究，构造出了概率模糊支
持向量机(PFSVM)模型，既达到了减少或者消除外围异样点对于整个训练模型的影响，-Support vector machine model and application, this work mainly in the following aspects: 1) the use of fuzzy set theory (FST) and the probability theory of support vector machines, constructed out of the probabilistic fuzzy support vector machine (PFSVM) model, not only to reduce or eliminate abnormal points outside the training model for the effects of Platform: |
Size: 2335744 |
Author:ww1 |
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Description: This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are particle swarm optimization algorithm (PSO) and genetic
algorithm optimization (GA). These two optimization algorothms
are used for efficiently and effectively determine the optimal
parameters for SVM. The resulatant two hybrid algorithms, i.e.
SVM-PSO and SVM-GA can improve the performances of the
original SVM algorithm on classifying the incipient faults in
power transformers. Extensive case studies and statistic
comparison among the original SVM, SVM-PSO, and SVM-GA
over multiple datasets are also provided. Calculation results may
demonstrate the effectiveness and applicability of the two hybrid
algorithms in improving the classification accuracy of SVM for
condition assessment of power transformer. Platform: |
Size: 985088 |
Author:pse |
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Description: This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are particle swarm optimization algorithm (PSO) and genetic
algorithm optimization (GA). These two optimization algorothms
are used for efficiently and effectively determine the optimal
parameters for SVM. The resulatant two hybrid algorithms, i.e.
SVM-PSO and SVM-GA can improve the performances of the
original SVM algorithm on classifying the incipient faults in
power transformers. Extensive case studies and statistic
comparison among the original SVM, SVM-PSO, and SVM-GA
over multiple datasets are also provided. Calculation results may
demonstrate the effectiveness and applic Platform: |
Size: 1890304 |
Author:pse |
Hits:
Description: This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are particle swarm optimization algorithm (PSO) and genetic
algorithm optimization (GA). These two optimization algorothms
are used for efficiently and effectively determine the optimal
parameters for SVM. The resulatant two hybrid algorithms, i.e.
SVM-PSO and SVM-GA can improve the performances of the
original SVM algorithm on classifying the incipient faults in
power transformers. Extensive case studies and statistic
comparison among the original SVM, SVM-PSO, and SVM-GA
over multiple datasets are also provided. Calculation results may
demonstrate the effectiveness and applicability of the two hybrid
algorit Platform: |
Size: 930816 |
Author:pse |
Hits:
Description: This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are particle swarm optimization algorithm (PSO) and genetic
algorithm optimization (GA). These two optimization algorothms
are used for efficiently and effectively determine the optimal
parameters for SVM. The resulatant two hybrid algorithms, i.e.
SVM-PSO and SVM-GA can improve the performances of the
original SVM algorithm on classifying the incipient faults in
power transformers. Extensive case studies and statistic
comparison among the original SVM, SVM-PSO, and SVM-GA
over multiple datasets are also provided. Calculation results may
demonstrate the effectiveness and applicability of the two hybrid
algorithms in improving the classification accuracy of SVM for
condition Platform: |
Size: 670720 |
Author:pse |
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Description: 该文献详细介绍了支持向量机SVM在遥感图像中的应用，尤其是在小目标的提取上居然不可替代的作用(In this literature, the application of support vector machine SVM in remote sensing images is introduced in detail, especially the irreplaceable role in the extraction of small targets) Platform: |
Size: 1285120 |
Author:飘逸的猪 |
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Search - application in support vector machine