Description: 可以方便利用训练数据建立径向基函数神经网络并绘制输入-输出网格图。-Can easily make use of training data to establish radial basis function neural network and the mapping of input- output grid. Platform: |
Size: 2048 |
Author:张磊 |
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Description: 用径向基函数法实现模式分类，自动选择最佳隐含层书目，并给出差准率和差全率。-Radial basis function method used to achieve pattern classification, automatically select the best hidden layer bibliography, and to the business associate and full-rate differential. Platform: |
Size: 1024 |
Author:曹红丽 |
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Description: 利用网络实现函数逼近
使用的主要函数如下：
NEWRB——设计径向基函数神经网络
SIM——对径向基函数网络进行仿真-Function approximation using the Internet to achieve the main function is as follows: NEWRB- the design of radial basis function neural network SIM- for radial basis function network simulation Platform: |
Size: 1024 |
Author:舒 |
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Description: 径向基神经网络Matlab编程，包含4个分厂不错的Matlab程序，读者可以下载运行一下看看。-Radial Basis Function Neural Networks Matlab programming, including 4 branch good Matlab program, readers can download to run about to see. Platform: |
Size: 4096 |
Author:侯杰 |
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Description: 径向基函数神经网络（RBF）的MATLAB程序，比较详细，希望对学习RBF的人有帮助-Radial basis function neural network (RBF) of the MATLAB program, a more detailed study RBF people who want to help Platform: |
Size: 2048 |
Author:vivian |
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Description: 径向基函数的matlab 代码程序，很简单，很容易使用-Radial basis function matlab code program, very simple and very easy to use Platform: |
Size: 117760 |
Author:xingyewuyu |
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Description: 运用径向基高斯函数作出图像修复，并附带相应代码以及图像实例-Gaussian radial basis function to image restoration, and with the corresponding instance of the code and image Platform: |
Size: 1525760 |
Author:丁开国 |
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Description: Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with the fundamentals of neural network control system design.(This book is intended for the researchers in the fields of neural adaptive control, mechanical systems, Matlab simulation, engineering design, robotics and automation.
Jinkun Liu is a professor at Beijing University of Aeronautics and Astronautics.) Platform: |
Size: 3880960 |
Author:victorbian
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