Description: 本文深入研究了 BP 神经网络与遗传算法理论，BP 神经网络在应用过程中面临
着网络训练时间长、容易陷入局部极小值、隐层节点数不易确定等缺点，为了有效
地克服 BP 网的困难，将遗传算法与 BP 网络有机地融合，使它们之间的相互补充增
强彼此的能力，从而获得更有力的解决实际问题的能力。
-this in-depth study of artificial neural networks and genetic algorithms theory, BP neural network applications in the process of facing network training a long time and easily into the local minimum value, hidden nodes is difficult to determine such shortcomings, in order to effectively overcome the difficulties BP network, Genetic Algorithm and BP organic integration of the network, so that they complement each other between enhance mutual capability, thus more effective to solve practical problems. Platform: |
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Author:罗旺 |
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Description: 基于遗传算法优化的RBF网络逼近程序，可以参考！希望能对大家有所帮助
-based on genetic algorithm optimization RBF network approximation procedures, they can refer to. The hope is to help everyone Platform: |
Size: 3072 |
Author:luchen |
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Description: 上传一些遗传算法改进神经网络的caj资料，希望对大家有用！-From a number of genetic algorithm to improve the neural network CAJ information, in the hope that useful to everybody! Platform: |
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Author:chen |
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Description: 由于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。程序需要调用gaot工具箱.-As a result of BP network weights optimization is a constrained optimization problems, and weights to be used real-coded, so the direct use of Matlab genetic algorithm toolbox. Posted the following code is for a 19 input variables, an output variable in case of non-linear regression designed, if applied to other situations, simply change your codec function. Procedures need to call gaot toolbox. Platform: |
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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: 利用遗传算法优化RBF神经网络的结构，包括优化权值、高斯基的中心和宽度-The use of genetic algorithm to optimize the structure of RBF neural network, including the right to optimize the value of the Gaussian center and width Platform: |
Size: 2048 |
Author:shui |
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Description: 自己编的遗传算法同BP神经网络结合的代码！并且在神经网络模型上进行多目标寻优，结果有doc文档详细说明！实现BP-GA多目标优化应用实例！-Own genetic algorithm with BP neural network combined with the code! And in the neural network model for multi-objective optimization, the result document has a detailed description doc! Realize BP-GA multi-objective optimization application examples! Platform: |
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Author:ym |
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Description: nnToolKit 神经网络工具包是基于 MATLAB 神经网络工具箱自行开发的一组神经网络算法函数库，其中的函数在MATLAB环境下均可独立运行，并可打包成DLL组件，这些组件作为独立的COM对象，可以直接被Visual Basic、Visual C++ 、C++ Builder或其它支持COM的高级语言所引用。本工具包中包含的算法包括BP算法中的一些改进算法、模糊神经网络、小波神经网络、遗传算法优化神经网络权值改进算法等，根据需要，读者还可以对该工具包进行扩展，即扩充一些新的函数，以实现特殊的算法需求。-nnToolKit neural network tool kit is based on the MATLAB neural network toolbox developed by a group of neural network algorithm library, which functions in the MATLAB environment can be run independently, and packaged into a DLL components, these components as a separate COM object, can be directly by Visual Basic, Visual C++, C++ Builder or other high-level language support COM quoted. The toolkit includes algorithms, including some of the BP algorithm to improve the algorithm, fuzzy neural network, wavelet neural networks, genetic algorithms to optimize neural network weights to improve the algorithm, if necessary, readers can also expand the tool kit, namely the expansion of some new function, the algorithm in order to achieve special needs. Platform: |
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Author:魏建明 |
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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: |
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Author:梁健 |
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Description: 微粒群算法[PSO ] 是由Kennedy 和Eberhart等于1995 年开发的一种演化计算技术, 来源于对鸟群捕食过程的模拟。PSO同遗传算法类似，是一种基于叠代的优化工具，但与遗传算法使用遗传操作子进行优化不同，利用群体中各个体之间的“协作”与“竞争”关系，根据自身及其竞争者的飞行经验，调整自己的行为。同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域。-Particle Swarm Optimization [PSO] are equal by Kennedy and Eberhart in 1995 developed an evolutionary computing technology, from preying on the birds of the simulation process. PSO with genetic algorithm is similar to an iterative optimization-based tool, but the use of genetic algorithms and genetic manipulation of different sub-optimize the use of groups between the various entities within the " collaboration" and " competitive" relationship, according to themselves and their competition the flying experience, adjust their behavior. Comparison with genetic algorithms, PSO has the advantage of being simple and easy and did not realize the need to adjust the parameters much. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications. Platform: |
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Author:wzy |
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Description: 基于遗传算法对rbf神经网络的径向基宽度进行优化的matlab程序-Based on genetic algorithm rbf radial basis neural network to optimize the width of the matlab program Platform: |
Size: 4096 |
Author:王建 |
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Description: 基于遗传算法改进的神经网络算法，可以广泛的应用于数据预测及数据分析-Improved genetic algorithm-based neural network algorithm can be widely used in data forecasting and data analysis Platform: |
Size: 52224 |
Author:云飞 |
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Description: 现代最优化算法（有170多页的PPT，2010年的）
分为三个部分
Part 1 概论
Part 2 模拟退火算法
Part 3 遗传算法
现在常用的优化算法
禁忌搜索算法
模拟退火算法
遗传算法
人工神经网络
蚁群算法
粒子群算法
混合算法-Modern optimization algorithm is divided into three parts Part 1 Part 2 Introduction Part 3 simulated annealing genetic algorithm optimization is now commonly used in tabu search algorithm simulated annealing genetic algorithm, artificial neural network hybrid particle swarm ant colony optimization algorithm Platform: |
Size: 4639744 |
Author:zhang |
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Description: 一种遗传优化神经网络的算法，里面包含有初始化函数,在运行程序前先将实验数据load进去。输入A =load( D:\数据.txt ) 这里的D是你存储数据的位置-A genetic optimization of neural network algorithm, which contains the initialization function, before running the program to the experimental data in load. Enter the A =load (D:\ data.Txt) where D is your data storage location Platform: |
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Author:gym |
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Search - genetic algorithm in neural network