Description: matlab预测程序集合，适用于数学建模大赛，直接数据导入就可以用。包括灰色模型预测程序2个，gm10，greymodel，高斯混合模型mixture_of_gaussians，以及BP神经网络优化模型，遗传算法优化，Genetic，粒子群算法优化，PSO-Matlab to predict collection, suitable for mathematical modeling contest, data import can use directly. Including gray model forecasting program 2, gm10, greymodel, mixture_of_gaussians gaussian mixture model, optimization model and BP neural network, Genetic algorithm (ga) optimization, based, optimization of particle swarm optimization (PSO), PSO Platform: |
Size: 7168 |
Author:Lisa |
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Description: 旋转机械二维全息谱计算的实用例程，是一种双隐层反向传播神经网络，遗传算法无功优化。- Rotating Machinery dimensional hologram of practical spectrum calculation routines, Is a two hidden layer back propagation neural network, Genetic algorithm based reactive power optimization. Platform: |
Size: 3072 |
Author:juiqangfantang |
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Description: 根据遗传算法和BP神经网络理论，在matlab软件中编程实现基于遗传算法优化的BP神经网络非线性系统拟合算法。-According to the theory of genetic algorithm and BP neural network, in the matlab software programming to realize BP neural network nonlinear systems based on genetic algorithm optimization fitting method. Platform: |
Size: 55296 |
Author:汪杰 |
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Description: 对于未知的非线性函数，仅通过函数的输入输出数据难以准确寻找函数极值，这类问题可以通过神经网络结合遗传算法求解，利用神经网络的非线性拟合能力和遗传算法的非线性寻优能力寻找函数极值。-For unknown nonlinear function, only through the function of input and output data is difficult to accurately find the function extreme value, this kind of problem can be through the neural network combined with genetic algorithm, using the nonlinear fitting ability of the neural network and nonlinear optimization ability of genetic algorithm to find the function extreme value. Platform: |
Size: 303104 |
Author:汪杰 |
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Description: AForge.NET是一个专门为开发者和研究者基于C#框架设计的，这个框架提供了不同的类库和关于类库的资源，还有很多应用程序例子，包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习，机器人等领域。
这个框架由一系列的类库组成。主要包括有:
AForge.Imaging -- 一些日常的图像处理和过滤器
AForge.Vision -- 计算机视觉应用类库
AForge.Neuro -- 神经网络计算库AForge.Genetic -进化算法编程库
AForge.MachineLearning -- 机器学习类库
AForge.Robotics -- 提供一些机器学习的工具类库
AForge.Video -- 一系列的视频处理类库
AForge.Fuzzy -- 模糊推理系统类库
AForge.Controls-- 图像，三维，图表显示控件(AForge.NET is a specialized for developers and researchers based on the C# framework, this framework provides a different library and on the library resources, there are a lot of application examples, including computer vision and artificial intelligence, image processing, neural network, genetic algorithm, machine learning, robotics and other fields.
The framework consists of a series of class libraries. Mainly include:
AForge.Imaging -- some daily image processing and filters
AForge.Vision -- computer vision application class library
AForge.Neuro -- Neural Network Computing Library -- AForge.Genetic -- evolutionary algorithm library
AForge.MachineLearning - machine learning class library
AForge.Robotics - provides some library tools for machine learning
AForge.Video - a series of video processing libraries
AForge.Fuzzy -- fuzzy inference system class library
AForge.Controls-- images, three-dimensional, chart display controls) Platform: |
Size: 37654528 |
Author:ideal0o0
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Description: 基于神经网络遗传算法的系统极值寻优 初始化遗传算法参数(Optimization of system extremum based on neural network genetic algorithm) Platform: |
Size: 193536 |
Author:李四3601
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Description: MATLAB 代码
第1章 BP神经网络的数据分类——语音特征信号分类
第2章 BP神经网络的非线性系统建模——非线性函数拟合
第3章 遗传算法优化BP神经网络——非线性函数拟合
第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优
第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模
第6章 PID神经元网络解耦控制算法——多变量系统控制
第7章 RBF网络的回归--非线性函数回归的实现
....等58章(MATLAB code
The first chapter is BP neural network data classification -- speech characteristic signal classification
The second chapter is the nonlinear system modeling of BP neural network nonlinear function fitting
The third chapter, genetic algorithm optimization BP neural network - nonlinear function fitting
The fourth chapter, neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking
The fifth chapter is based on BP_Adaboost's strong classifier design -- the company financial early-warning model
The sixth chapter is PID neural network decoupling control algorithm multivariable system control
The seventh chapter is the regression of RBF network the realization of nonlinear function regression
.........the last is 58 chapters) Platform: |
Size: 12877824 |
Author:ddd121
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Description: PLolbox, The entire training process BP neural network, Genetic algorithm based reactive power S PLS toolbox, The entire training process BP neural network, Genetic algorithm based reactive power optimization. Platform: |
Size: 9216 |
Author:pengensui
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Description: 该PDF共有30个MATLAB神经网络的案例，包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络；还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。本PDF作为本科毕业设计、研究生项日设计、博士低年级课题设计参考书籍，同时对广大科研人员也有很高的参考价值。(The PDF has a total of 30 MATLAB in the case of neural networks, including BP, RBF, SVM, SOM, Hopfield, LVQ, Elman and wavelet neural network; also contains PSO (Li Ziqun), grey neural network, fuzzy neural network, probabilistic neural network, genetic algorithm etc.. The PDF as a graduate design, graduate design and doctoral low grade project design reference books, but also for the vast number of scientific research personnel also have a high reference value.) Platform: |
Size: 47037440 |
Author:那又怎样
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Description: 神经网络遗传算法极值函数寻优，对象为非线性函数。(The extremum function of neural network genetic algorithm is optimized, and the object is nonlinear function.) Platform: |
Size: 2082816 |
Author:积灰
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Description: 基于matlab的Iris、乳腺癌数据集的模式识别分类算法，含有 遗传算法+SVM、isodata、感知器算法、LMSE、神经网络等算法的实现代码，用于聚类效果良好，是模式识别大作业的参考资料(The pattern recognition classification algorithm based on MATLAB for Iris and breast cancer data sets contains the implementation code of genetic algorithm +SVM, ISODATA, perceptron algorithm, LMSE, neural network and so on. It is used for good clustering results and is a reference for pattern recognition.) Platform: |
Size: 6144 |
Author:张小明12345 |
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Search - neural network genetic algorithm