Description: 本文是一篇名为“基于SVM的石油勘探算法研究”的硕士论文，文中应用MATLAB进行算法实现，给出了详细的设计思路，各种不同方法的图像对比，区县调整，是一片相当不错的文章。-This is the one entitled "SVM Based Algorithm for oil exploration," the master's thesis, text MATLAB algorithm is given a detailed design ideas, different methods of image contrast. county adjustment is a pretty good article. Platform: |
Size: 737677 |
Author:lijianjun |
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Description: 台湾林智仁教授的libsvm源代码 通用的支持向量机算法研究平台-Taiwan Linzhiren Professor libsvm common source of support vector machine algorithm research platform Platform: |
Size: 450560 |
Author:山城棒棒儿军 |
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Description: 一个很好的LIBSVM的JAVA源码。对于要研究和改进SVM算法的学者。可以参考。来自数据挖掘工具YALE工具包。-a good LIBSVM JAVA source. They should study and improve SVM academics. Reference. From Data Mining Tool Kit Yale. Platform: |
Size: 977920 |
Author:wangyan20032003 |
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Description: 本文是一篇名为“基于SVM的石油勘探算法研究”的硕士论文，文中应用MATLAB进行算法实现，给出了详细的设计思路，各种不同方法的图像对比，区县调整，是一片相当不错的文章。-This is the one entitled "SVM Based Algorithm for oil exploration," the master's thesis, text MATLAB algorithm is given a detailed design ideas, different methods of image contrast. county adjustment is a pretty good article. Platform: |
Size: 737280 |
Author:lijianjun |
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Description: svm的分类原理介绍，以及它的训练算法研究和应用-introduce the principle of SVM classification, as well as its training algorithm research and application Platform: |
Size: 11255808 |
Author:lanxin cai |
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Description: 这是一篇关于支持向量机的故障诊断博士论文。本文主要研究和探讨将SVM算法应用于故障诊断领域需要考虑的问题和具体的算法实现。
-This is an article on the Support Vector Machine for Fault Diagnosis doctoral dissertation. In this paper, research and explore the SVM algorithm is applied to the field of fault diagnosis of issues to be considered and specific algorithm. Platform: |
Size: 927744 |
Author:Liquanlin |
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Description: 机器学习是人工智能的一个子领域，是人工智能中非常活跃且范围甚广的主要核心研究领域之一，也是现代智能系统的关键环节和瓶颈。机器学习吸取了人工智能、概率统计、计算复杂性理论、控制论、信息论、哲学、生理学、神经生物学等学科的成果，主要关注于开发一些让计算机可以自动学习的技术，并通过经验提高系统自身的性能。本文介绍了机器学习的概念、基本结构和发展，以及各种机器学习方法，包括机械学习、归纳学习、类比学习、解释学习、基于神经网络的学习以及知识发现等，并简单叙述了机器学习的相关算法，包括决策树算法、随机森林算法、人工神经网络算法、SVM算法、Boosting与Bagging算法、关联规则算法、贝叶斯学习算法以及EM算法等，最后还指出了机器学习的应用及其发展趋势。-Machine learning is a subset of the field of Artificial Intelligence,is very active in Artificial Intelligence and a wide range of research in the field of one of the main core, is the key and the bottleneck of a modern intelligent system.Machine Learning has absorbed the results of Artificial Intelligence, Probability and Statistics, Computational Complexity Theory, Cybernetics, Information Theory, Philosophy, Physiology and Neurobiology, and other disciplines.It concerns mainly about how to develop some of technology which can make the computer auto-learning,and through experiences to improve the performance of the system itself.This paper introduces the concept,the basic structure and development of machine learning, and a variety of machine learning methods,including machine learning, inductive learning, learning by analogy, explanation-based learning,based on neural network learning and knowledge discovery, and so on. And briefly descrip the algorithms of machine learning,includin Platform: |
Size: 32768 |
Author:lzl |
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Description: 在分类算法研究onThe应用运行长度的车型分类研究中使用坡道SVM和K近邻-The Research of Vehicle Classification Using SVM and KNN in a ramp Platform: |
Size: 392192 |
Author:dss |
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Description: 关于SVM支持向量机的算法，对于研究手势识别和人脸识别有很大参考价值。-About SVM support vector machine algorithms, gesture recognition and face recognition for the study of great reference value. Platform: |
Size: 5613568 |
Author:知秋 |
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Description: 该算法为SVM算法的一个简单实现，该算法对于人机交互领域的研究具有很重要的作用。-The algorithm for the SVM algorithm is a simple implementation of the algorithm for human-computer interaction research in the field have a very important role. Platform: |
Size: 1301504 |
Author:王飞 |
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Description: 基于SVM的文本无关说话人识别算法研究，本文在最后用Matlab程序实现了一个基于支持向量机的说话人识别系统试验平台。并根据对参试者进行的大量身份测试试验，总结系统的各方面性能和分析存在的问题，为进一步研究提供了方向和宝贵的经验。
-SVM-based text independent speaker recognition algorithm, the paper used in the final implementation of a Matlab program based on support vector machine speaker recognition system test platform. And tested based on the identity of those who carried out a large number of test trials, summed up the system performance and analysis of all aspects of the problems, provide a direction for further research and valuable experience. Platform: |
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Author:王伟 |
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Description: 介绍了支持向量机(SVM)中广泛采用的算法-分解算法 ,总结了其收敛性证明的
总体思路并对目前最流行的 SVM算法库LIBSVM进行了详细的分析与研究-Describes support vector machine (SVM) algorithm is widely used- decomposition algorithm, summed up the general idea of the convergence proof and the most popular SVM library LIBSVM algorithm carried out a detailed analysis and research Platform: |
Size: 277504 |
Author:lypan |
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Description: 本文主要研究 LS-SVM 算法的基本原理及基于其实现时间序列预测
的方法。针对超参数选择困难的问题，采用多级网格搜索和遗传算法的方法对
超参数的取值进行优化-This paper studies the basic principles of the LS-SVM algorithm and time series prediction based on its implementation. Difficult to select for hyper parameter, multi-level grid search and genetic algorithm to optimize the values of hyper parameters Platform: |
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Author:毛玉凤 |
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Description: 实现了 SVM 在医学图像分类中的应用，通过医学图像的实验结果验证了该方法的有效性。
对 SVM 算法进行了深入研究，结合量子行为的粒子群算法的优点，提出了一种量子行为的粒子群算法和 SVM 结合的混合分类模型，应用于医学图像的分类中。
深入研究了 K-means 算法，结合了无监督聚类和监督分类方法的优点，提出了一种 K-means 和 SVM 结合的混合分类模型，并应用于医学图像的分类中。
利用粒子群和量子行为的粒子群算法对 K-means 算法进行了改进，并将改进的K-means 算法与 SVM 算法结合形成全自动分类模型，并且把它应用于医学图像的分类中。
-SVM in the classification of medical image applications, medical images through the experimental results verify the effectiveness of the method. SVM algorithm conducted in-depth research, combined with the quantum behavior of the advantages of particle swarm optimization, PSO and SVM combined behavior of a quantum mixed classification model, applied to medical image classification. In-depth study of the K-means algorithm combines the advantages of unsupervised clustering and supervised classification method, propose a hybrid combination of a K-means and SVM classification model, and applied to the classification of medical images. Improved particle swarm algorithm using particle swarm and quantum behavior of the K-means algorithm, and improved K-means algorithm and SVM algorithm combined with the formation of a fully automatic classification model, and apply it to medical image classification. Platform: |
Size: 1626112 |
Author:招伟杰 |
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