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支持向量机工具箱使用方法演示,讲述如何使用svm的工具箱。...
支持向量机工具箱使用方法演示,讲述如何使用svm的工具箱。-Support Vector Machines to use the toolbox demonstration on how to use the toolbox svm.
- 2022-03-29 11:07:41下载
- 积分:1
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Computational electromagnetics in the genetic algorithm is a better optimization...
计算电磁学中的遗传算法,是比较好的优化书籍,欢迎下载使用-Computational electromagnetics in the genetic algorithm is a better optimization of books, welcome to download
- 2022-10-02 13:45:10下载
- 积分:1
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语音信号处理工具包,里面提供了很多有用的操作。这是最新版本...
语音信号处理工具包,里面提供了很多有用的操作。这是最新版本-voice signal processing tool kit containing a lot of useful operation. This is the latest version
- 2022-03-26 16:23:22下载
- 积分:1
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文本识别是一个基础但却重要的课题,本算法给出其具体的实现过程。...
文本识别是一个基础但却重要的课题,本算法给出其具体的实现过程。-Text identification is a basal but important task.This arithmetic give a material realized process.
- 2022-02-04 14:21:20下载
- 积分:1
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自主式决策树学习的程序源码,对研究机器学习的同行很有用。...
自主式决策树学习的程序源码,对研究机器学习的同行很有用。-Autonomous Decision Tree learning procedures source, the study machine learning peer useful.
- 2022-01-24 15:02:06下载
- 积分:1
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8. "Genetic algorithm and its application," Chen Guoliang edited and p...
8。《遗传算法及其应用》,陈国良等编着 人民邮电出版社 2001年第一版
本书系统全面地介绍了遗传算法的基本原理、设计方法及其并行实现,以及它在组合优化、机器学习、图像处理、过程控制、进化神经网络、模糊模式识别和人工生命等方面的应用。 本书可作为高等院校计算机、无线电电子学、自动控制、生物医学工程等有关专业高年级学生或研究生的教材和参考书,也可供从事人工智能、信息处理研究和应用的科技人员学习参考。-8. "Genetic algorithm and its application," Chen Guoliang edited and published with the People"s Post and in 2001 the first book version of the full introduction of the genetic algorithm basic tenets , design methods and parallel implementation, and its portfolio optimization, machine learning, image processing, process control, evolutionary neural networks, Fuzzy Pattern Recognition and Artificial Life, and so on the application. The book can be used as institutions of higher learning computers, radio electronics, automatic control, biomedical engineering, and other professional grade students or graduate teaching and reference materials, are also available in artificial intelligence, information processing and application of information technology to study.
- 2022-05-09 10:19:43下载
- 积分:1
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1、编制程序显示印章图像(24位真彩色位图);
2、读出位图中每一像素点的(R,G,B)样本值;
3、以RGB其中某两个(或三个)为坐标,取一定数量的图...
1、编制程序显示印章图像(24位真彩色位图);
2、读出位图中每一像素点的(R,G,B)样本值;
3、以RGB其中某两个(或三个)为坐标,取一定数量的图像点为分析样本,分析其坐标系中的分布;
4、采用本章学习的方法找到分类判别函数,对这些样本进行分类;(要求首先将印章与底纹区分,如有可能将印章、底纹、签字区分)
5、将分类后的结果标记到原始图像上,检查其效果。
-1, the preparation procedures showed that the seal image (24-bit true color bitmap) 2, read out each bitmap pixel (R, G, B) sample value 3 to RGB which a two (or three ) for the coordinates, take a certain number of image points for the analysis of samples, analysis of its coordinate system of distribution 4, the method used in this chapter to learn to find discriminant function classification of these samples for classification (required first to distinguish between the seal and Shading, if possible, will seal, Shading, signatures to distinguish between) 5, will be the result of classification markings to the original image to check its effectiveness.
- 2022-04-27 00:31:30下载
- 积分:1
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多核环境下运行了可满足性分析的工具软件,能够使你充分了解多核编程技术...
多核环境下运行了可满足性分析的工具软件,能够使你充分了解多核编程技术-Multi-core environment running satisfiability analysis tools, enabling you to fully understand the multi-core programming technology
- 2023-01-27 23:35:03下载
- 积分:1
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用c语言实现的bp神经网络实现异或功能,比较好用
用c语言实现的bp神经网络实现异或功能,比较好用
-use the C Language bp neural network XOR functions, better quality
- 2023-01-07 06:45:03下载
- 积分:1
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由于K-均值聚类算法局部最优的特点,而模拟退火算法理论上具有全局最优的特点。因此,用模拟退火算法对聚类进行了改进。20组聚类仿真表明,平均每次对K结果值改进8次...
由于K-均值聚类算法局部最优的特点,而模拟退火算法理论上具有全局最优的特点。因此,用模拟退火算法对聚类进行了改进。20组聚类仿真表明,平均每次对K结果值改进8次左右,效果显著。下一步工作:实际上在高温区随机生成邻域是个组合爆炸问题(见本人上载软件‘k-均值聚类算法’所述),高温跳出局部解的概率几乎为0,因此正考虑采用凸包约束进行模拟聚类,相关工作正在进行。很快将奉献给各位朋友。-as K-means clustering algorithm for optimal local characteristics, and simulated annealing algorithm theory with the characteristics of the global optimum. Thus, simulated annealing algorithm for clustering improvements. Cluster Group of 20 simulations show that the average value of K results improved about eight times, the results are obvious. The next step : In fact, in high temperature generated random neighborhood is a combination of explosives (see my software on the "k-means clustering algorithm" mentioned above), high-temperature solution of partial out almost zero probability, it is considering the use of convex hull bound for simulation cluster, the work under way . Soon dedication to the ladies.
- 2023-05-08 08:05:03下载
- 积分:1