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[Other resource] B.P.Lathi-Matlab DL : 0: 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.
Date : 2008-10-13 Size : 17.68kb User : fan
[AI-NN-PR] 支持向量机神经网络C++ DL : 0: C++实现的支持向量机神经网络代码，欢迎各位使用-C realized SVM neural network code, welcome you use
Date : 2025-07-01 Size : 378kb User : 杨兵
[matlab] B.P.Lathi-Matlab DL : 0: 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.
Date : 2025-07-01 Size : 17kb User : fan
[AI-NN-PR] Neural_Network_Code_CHAPT6 DL : 0: BackProp算法：经典的B-P算法.-BackProp algorithm : the classic B-P algorithm.
Date : 2025-07-01 Size : 53kb User : 马行田
[matlab] pid+bp DL : 1: 一种基于BP神经网络整定的PID控制的matlab源程序-BP neural network based tuning of PID control matlab source
Date : 2025-07-01 Size : 5kb User : wenston
[matlab] PSO-evolutionarycomputation DL : 0: 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
Date : 2025-07-01 Size : 22kb User : zzh
[AI-NN-PR] ann DL : 0: 神经网络跟踪理论及应用.pdf（图书）-Neural network theory and application of track. Pdf (Book)
Date : 2025-07-01 Size : 1.64mb User : stephen
[Industry research] nnet DL : 0: neural network pdf file, a good start for begineer to obtain the basic knowledge.
Date : 2025-07-01 Size : 3.29mb User : jeffrey
[matlab] RBFNN DL : 0: 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
Date : 2025-07-01 Size : 2kb User : aaronwu
[Other] Duda.R.O._.Hart.P.E._.Stork.D.G..Pattern.classifi DL : 0: neural network basic book
Date : 2025-07-01 Size : 6.27mb User : Deepak
[Other] Pseudo_Zernike DL : 0: 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.
Date : 2025-07-01 Size : 1.18mb User : ll
[Special Effects] rice_detection DL : 0: 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.
Date : 2025-07-01 Size : 8kb User : wangjianshe
[AI-NN-PR] C-P-P-and-C-bp-NN DL : 0: 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
Date : 2025-07-01 Size : 12kb User : 洛龙行
[Program doc] An-Introduction-to-the-Modeling-of-Neural-Network DL : 0: An Introduction to the Modeling of Neural Networks, P. Perreto
Date : 2025-07-01 Size : 11.64mb User : gurpall
[Other] ACOB-P DL : 0: 蚁群优化算法优化神经网络的源程序!!蚁群优化算法优化神经网络的源程序-Ant colony optimization algorithm to optimize the neural network of the source, easy to use! ! !
Date : 2025-07-01 Size : 2kb User : dw
[Other] BP-neural-prediction-program-MATLAB DL : 0: 神经网络预测程序求一用 matlab 编的程序 P=[。。。] 输入 T=[。。。] 输出创建一个新的前向神经网络 net_1=newff(minmax(P),[10,1],{ tansig -BP neural network prediction program with MATLAB
Date : 2025-07-01 Size : 233kb User : 李明
[AI-NN-PR] bp-and-rbf-network DL : 0: bp和rbf神经网络 bp和rbf神经网络b p和rbf神经网络bp和rbf神经网络-Bp and RBF neural networkBp and RBF neural networkBp and RBF neural networkBp and RBF neural networkBp and RBF neural networkBp and RBF neural network
Date : 2025-07-01 Size : 203kb User : 王传钦
[Documents] C-o-m-p-e-n-s-a-t-o-r-y-N-e-u-r DL : 0: 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
Date : 2025-07-01 Size : 1.63mb User : haoguaiguai
[Software Engineering] BP-neural-network-model DL : 0: 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
Date : 2025-07-01 Size : 589kb User : 李云
[Other] H-of-Nl-N-S-P DL : 0: 神经网络信号处理手册，希望对相关研究人员有所帮助-Handbook of Neural Network Signal Processing
Date : 2025-07-01 Size : 11.29mb User : jack

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