Description: 利用模糊神经网络的方法实现遥感图像的目标识别-The use of fuzzy neural network approach to achieve the goal of remote sensing images to identify Platform: |
Size: 5120 |
Author:toney |
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Description: 模糊神经网络的权值训练和模型建立的确定关系比较-The weights of fuzzy neural network model training and the Relations between the determination of Platform: |
Size: 1024 |
Author:zhanghao |
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Description: 由VB编程实现的模糊神经网络的训练程序，可以实现对数据的分类，模式识别-VB programming by the fuzzy neural network training program, can achieve the data classification, pattern recognition Platform: |
Size: 1024 |
Author:lingshuanghan |
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Description: 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural net based remote sensing image classification has obtained good results. But neural net has inherent
flaws such as overfitting and local minimums. Support vector machine (SVM), which is based on Structural Risk Min-
imization(SRM), has shown much better performance than most other existing machine learning methods. Using mul-
ti-class SVM classifier high class rate of 95.4 is obtained. But for the class number of remote sensing image is much
great, manually obtaining of training samples is a much time-consuming work. So a multi-class SVM based semi-super-
vised approach is presented. It is choosed that the initial clustering centroids manually first, then label the samples as
the training ones automatically with fuzzy clustering algorithm. It is believed that this method will upgrade the classifi-
cation efficiency greatly with practicable class rate Platform: |
Size: 25600 |
Author:cissy |
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Description: Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM--Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM-NN Platform: |
Size: 91136 |
Author:mohsen |
Hits:
Description: Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM--Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM-NN Platform: |
Size: 13312 |
Author:mohsen |
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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，他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，模糊系统，机器人控制等领域。-AForge.NET is a specialized developer and researcher based C# framework designed, he included computer vision and artificial intelligence, image processing, neural networks, genetic algorithms, machine learning, fuzzy systems, robot control and other fields. Platform: |
Size: 11073536 |
Author:李天 |
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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: 首先对M文件进行仿真，然后利用指令gensim(net,-1)将神经网络生成simulink模型，然后就利用mdl文件进行模糊神经网络组合算法的搭建，针对FOPDT(一阶延迟模型)进行仿真，并考虑存在噪声的干扰！(Firstly, the simulation of the M file, and then use the command gensim (net, -1) will generate the Simulink neural network model, and then build a fuzzy neural network combination algorithm using MDL file for FOPDT (first-order delay model) simulation, and consider the presence of noise interference!) Platform: |
Size: 10240 |
Author:Lee天堂
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Search - fuzzy neural net