Description: 新神经网络
Extreme Learning Machine
比SVM快，附4个例子
-The new neural network Extreme Learning Machine faster than the SVM, with four examples of Platform: |
Size: 869376 |
Author:yu wei |
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Description: Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work presents a combined approach
to semantic adaptation of neural network classifiers in multimedia framework.
It is based on a fuzzy reasoning engine which is able to evaluate
the outputs and the confidence levels of the neural network classifier, using
a knowledge base. Improved image segmentation results are obtained,
which are used for adaptation of the network classifier, further increasing
its ability to provide accurate classification of the specific content. Platform: |
Size: 831488 |
Author:焦亚民 |
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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: 本文运用了神经网络中的自组织向量机和小波变换相结合，实现了图象的压缩，通过训练样本，得到好的结果-In this paper, the neural network of self-organizing vector machine and wavelet transform combining image compression achieved through the training samples obtained good results Platform: |
Size: 9216 |
Author:李靖 |
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Description: 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-Propagation algorithm of the basic principles, design methods and their parallel implementation, as well as in combinatorial optimization, machine learning, image processing, process control, evolutionary neural network Platform: |
Size: 9216 |
Author:鲁明 |
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Description: PNN又称为概率神经网络,它最初由数学家Specht于1990年提出,后经Master[1995]等不断发展和完善,已成功地应用于机器学习、人工智能、自动控制等众多领域.概率神经网络比多层前馈网络的数学原理简单,且易于实现-PNN is also known as the probabilistic neural network, which was first introduced by the mathematician Specht in 1990, after the Master [1995], such as the continuous development and improvement has been successfully applied to machine learning, artificial intelligence, automatic control and many other fields. Probabilistic neural network than the multi-layer feedforward network of simple math, and are easy to achieve Platform: |
Size: 8192 |
Author:piano |
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Description: 人工神经网络(ANN)的泛化特性是神经网络最重要的特性,同时也是最不容易保证的特性。本程序对改进泛化的神经网络算法以及新兴的机器学习算法——支持向量机算法进行研究,-Artificial Neural Network (ANN) the generalization characteristics of neural networks are the most important characteristics, but also not easy to guarantee the most features. This procedure for improving the generalization of neural network algorithm, as well as the emerging machine learning algorithms- Support Vector Machine algorithm research, Platform: |
Size: 7168 |
Author:王旭 |
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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: 支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。
-Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network Platform: |
Size: 3072 |
Author:孙准 |
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Description: These set of programs are written to design a robust power system stabilizer for minimizing the effects of low frequency oscillations in electric power systems. A complete nonlinear model of the power system represented by a single machine connected to an infinite bus is developed in the Simulink environment. A fuzzy Power System Stabilizer is designed using the fuzzy logic toolbox of matlab and its parameters are tuned by a NEural Network controller. Platform: |
Size: 15360 |
Author:al-amin |
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Description: 数据挖掘和知识发现（Data Mining and Knowledge Discovery，DMKD）技术就是在这样的背景下产生的，是在数据库技术、机器学习、人工智能、统计分析、模型逻辑、人工神经网络和专家系统等基础上发展起来的新兴交叉科学，是继网络之后的又一个技术热点。如果将数据库中的大量数据比喻为矿床，则DMKD技术就是从这矿床中挖掘知识的“金块”的工具。由于其诱人的前景和巨大的难道，使得DMKD成为计算机信息处理领域的研究热点和前沿技术。-Data Mining and Knowledge Discovery (Data Mining and Knowledge Discovery, DMKD) technology is produced in this background is in database technology, machine learning, artificial intelligence, statistical analysis, model logic, artificial neural network and expert system based on developed new interdisciplinary science, is the second network technology hot spot after another. If the database of a large number of data compared to deposits, the DMKD technology is the knowledge of mining this deposit, the "gold" tool. Because of its attractive prospects and huge Could make DMKD a computer information processing in the field of research focus and cutting-edge technology Platform: |
Size: 7132160 |
Author:kizo |
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Description: 利用机器视觉系统代替人眼获取各项大米参数,再参照国标对其进行等级划分。在此基础上, 利用MATLAB软件的神经网络工具箱在数理统计基础上完成检测模型的构建,从而实现对未知大米外特性的评判,并为检测大米综合品质奠定了基础。-rice detection.At p resent, the evaluation method of the rice quality in China is still at the level of naked eye observation.
How to classify different varieties of rice through the quality parameters based on the adop ted evaluation criteria becomes
a new research top ic. In this paper, the machine vision- based method is used in studying the rice quality. On the basis
of the evaluation criteria, different kinds of rice are classified. And according to the usage of neural network, the detec2
tion model is established, so it can lay the foundation for the p rediction of the unknown kinds of rice in the future. Platform: |
Size: 8192 |
Author:wangjianshe |
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Description: 《数字图像处理与机器视觉:Visual C++与Matlab实现》4
特征提取,图像识别初步,人工神经网络,基于ANN的数字字符识别系统-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" four feature extraction, image recognition initially, artificial neural network, ANN based digital character recognition system Platform: |
Size: 726016 |
Author:陈新秋 |
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Description: BP神经网络PID控制在吹塑机系统中的应用BP neural network PID control in the blow molding machine system-BP neural network PID control in the blow molding machine system Platform: |
Size: 156672 |
Author:free1828 |
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Search - neural network machine