Description: matlab例程MATLAB 6.x版的内建数据类型（Built-in data type）就有5种以上，此外还有许多其他专门设计的类（Class），如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言，MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题（如符号计算问题、多变量控制系统问题、神经网络问题）。本章内容根据MATLAB6.5编写，但绝大部分内容适用于其他MATLAB6.x版本。-Matlab routines MATLAB 6.x version of the built-in data types (Built-in da ta type) have more than five, in addition to many other specialized design category (Class). If symbol, which together function category, tool kits control the linear time-invariant model type, neural network type. On the design process, using MATLAB 6.x version of the object-oriented programming technology. Programming and data changes so that users can more simple and natural solution to the complex calculation (as symbolic computation, multivariable control systems, neural networks). According to the contents of this chapter MATLAB6.5 preparation, But most of what applies to other MATLAB6.x version. Platform: |
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Author:fan |
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Description: matlab例程MATLAB 6.x版的内建数据类型（Built-in data type）就有5种以上，此外还有许多其他专门设计的类（Class），如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言，MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题（如符号计算问题、多变量控制系统问题、神经网络问题）。本章内容根据MATLAB6.5编写，但绝大部分内容适用于其他MATLAB6.x版本。-Matlab routines MATLAB 6.x version of the built-in data types (Built-in da ta type) have more than five, in addition to many other specialized design category (Class). If symbol, which together function category, tool kits control the linear time-invariant model type, neural network type. On the design process, using MATLAB 6.x version of the object-oriented programming technology. Programming and data changes so that users can more simple and natural solution to the complex calculation (as symbolic computation, multivariable control systems, neural networks). According to the contents of this chapter MATLAB6.5 preparation, But most of what applies to other MATLAB6.x version. Platform: |
Size: 17408 |
Author:fan |
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Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究
PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍
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) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. 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:zzh |
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Description: Three function for RBF neural network, using OLS,Rand and SGA
function [newcenter,sigma,W,yh,rmse]=rbfols(p,t,tol)
p 為輸入資料點，N×K矩陣，N是輸入資料維度，K是資料點數
t 為目標輸出值，1×K矩陣
tol 為指定容忍度或正確率
centers選定中心點，N×nc矩陣
sigma為 ? 值
W為輸出層權重，nc×1矩陣
yh為網路輸出值，1×K矩陣
rmse 為目標輸出值與網路輸出值之RMSE-Three function for RBF neural network, using OLS,Rand and SGA
function [newcenter,sigma,W,yh,rmse]=rbfols(p,t,tol)
p 為輸入資料點，N×K矩陣，N是輸入資料維度，K是資料點數
t 為目標輸出值，1×K矩陣
tol 為指定容忍度或正確率
centers選定中心點，N×nc矩陣
sigma為 ? 值
W為輸出層權重，nc×1矩陣
yh為網路輸出值，1×K矩陣
rmse 為目標輸出值與網路輸出值之RMSE Platform: |
Size: 2048 |
Author:aaronwu |
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Description: 基于不变矩理论，提出一种应用概率神经网络作为识别器的车牌汉字识别技术。利用Pseudo-Zernike 矩特征的旋转不变性和良好
的抗噪性能，将其作为车牌汉字识别的特征矢量，结合Pseudo-Zernike 矩的快速算法和概率神经网络识别器快速学习和识别的性能，可适
应实时环境下所获取的车牌汉字灰度图像的识别，具有较高的准确率，实验结果表明了该方法的有效性。-】This paper presents a novel approach based on Pseudo-Zernike Invariant Moments(PZIM) and Probabilistic Neural Network(PNN) to
recognize license plate Chinese characters. The approach makes better use of the rotation invariant and good anti-noise performance of
Pseudo-Zernike moments and quick learning rate of PNN, and thus provides a real-time recognition of gray character images by utilizing
Pseudo-Zernike moments as feature vectors and Probabilistic Neural Network as classifier. Numeral experiment confirms that it is an effective way
to classify license plate Chinese characters. Platform: |
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Author:ll |
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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: C++和C编写的bp神经网络源程序，对bp神经网络的学习很有用-C++ and C source code written in bp neural network，it is useful to bp neural network learning Platform: |
Size: 12288 |
Author:洛龙行 |
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Description: 基于补偿算子的模糊神经网络系统及其在系统 建模和控制中的应用研究，包括论文和程序，程序附在论文后，为PDF文档-After the operator based compensation fuzzy neural network system and its application in modeling and control systems, including papers and procedures, procedures attached to the papers, the PDF document Platform: |
Size: 1713152 |
Author:haoguaiguai |
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Description: 研究并分析了B P神经网络的结构和特点，针对不足之处提出改进方法。在改进的基础
上建立神经网络软件可靠性新模型。通过MATL AB仿真工具进行了实例仿真，证实该新模型比传统
模型预测精度高，泛化能力强-Research and analysis of the structure and characteristics of BP neural network, an improved method for the shortcomings. In the modified base
The establishment of a new model of neural network software reliability. By MATL AB simulation tool was simulated, confirmed that the new model than the traditional
Model predicts high precision, strong generalization ability Platform: |
Size: 603136 |
Author:李云 |
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Search - neural network p