Search - structure matlab

Search - structure matlab - List

[AI-NN-PR] ProBP DL : 0: 误差反向传播网络(Back propagation network,简称BP网络)是神经网络中最活跃的方法，且绝大多数采用了三层结构(输入层、一个隐含层和输出层).BP网络是一种非线性映射人工神经网络.本程序用vb实现的bp算法-error back-propagation network (Back propagation network, called BP) neural network is the most active, but the majority adopted a three-tier structure (input layer, a hidden layer and output layer). BP network is a non-linear mapping of artificial neural networks. The procedures used vb the algorithm to achieve bp
Date : 2025-12-24 Size : 28kb User : fuyu
[AI-NN-PR] Adaptive DL : 0: The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables is included-The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms .~..~ There are 11 blocks that implement basically these five kinds of neural networks : a) Adaptive Linear Network (ADALINE) 2) Multilayer Layer 102206 with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks, 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) and RBF Networks with Piecewise Linear Dynamic Cell Structure (DCS) algorithm A Simulink example regarding the approximation of a scalar nonlinear function of four variables is included
Date : 2025-12-24 Size : 194kb User : 叶建槐
[AI-NN-PR] Kosko DL : 0: 了解Kosko型双向联想记忆网络的原理与结构，掌握具体实现方法-understanding Kosko-directional Associative Memory Networks principle and the structure have specific method
Date : 2025-12-24 Size : 3kb User : 开心
[AI-NN-PR] torrsam[2] DL : 0: There are some 79 or so Matlab files here which will help in many aspects of the computer vision structure from motion problem, a full description is provided in the manual, torrsam.ps.-There are some 79 or so Matlab files here WHI ch will help in many aspects of the computer visi on structure from motion problem, a full description is provided in the manual. torrsam.ps.
Date : 2025-12-24 Size : 1.48mb User : lhc2000
[AI-NN-PR] mohusjwl DL : 0: 模糊神经网络在现代工程领域得到很广泛的应用，在优化神将网络结构和性能上有很大帮助-fuzzy neural networks in modern engineering fields to be very widely used, God will optimize the network structure and capabilities will be of great help
Date : 2025-12-24 Size : 2kb User : 无机
[AI-NN-PR] XIAOBOBP DL : 0: 小波神经网络 MATLAB源程序结构很好可以借鉴-wavelet MATLAB source neural network can learn from the good structure
Date : 2025-12-24 Size : 2kb User : 李博
[AI-NN-PR] RBF(MATLAB) DL : 1: RBF神经网络 MATLAB源程序结构很好可以借鉴-RBFNN MATLAB source structure can learn from the good
Date : 2025-12-24 Size : 1kb User : 李博
[AI-NN-PR] Powerly DL : 0: 本文分析小波神经网络的特点重点研究在电力负荷预测中连续小波神经网络与BP神经网络相比具有的优缺点对认识和应用小波神经网络具有重要意义算例表明在网络结构相同的情况下连续小波神经网络比BP神经网络具有更高的预测精度-wavelet analysis of this neural network research focused on the characteristics of the power load forecasting continuous wavelet neural network and BP Neural networks have their advantages and disadvantages compared to the understanding and application of wavelet neural networks is of great significance example shows the network structure with the continuous wavelet neural network than BP neural network has a higher accuracy of prediction
Date : 2025-12-24 Size : 54kb User : bluebowl
[AI-NN-PR] choasprogrammelogstic DL : 0: 采用logistic构造的混沌模型，可以产生混沌序列，简单修改参数后可以产生任意区间的混沌序列程序-using logistic structure of chaotic model can produce chaotic sequence, After the simple parameter changes can have arbitrary interval of chaotic sequence procedures
Date : 2025-12-24 Size : 1kb User : wawyace
[AI-NN-PR] test1 DL : 0: 蚁群算法是模仿真实的蚁群行为而提出的一种模拟进化算法，蚂蚁之间是通过一种信息素的物质传递信息的，蚂蚁在运动的过程中能够在经过的路径上留下该物质，而且能够感知这种物质的存在及其强度，并以此指导自己的运动方向。它是一种通过类比组合优化和蚁群觅食行为而构造的一种算法，可以用来解决各种组合优化问题，本代码用来解决生产调度问题-Ant colony algorithm is based on real ant colony behavior and proposed a simulated evolutionary algorithm, ants are among the pheromone through a material and impart information, ants in the process of movement in the path on the left of the substance , but also perceived the existence of such material and its strength, and to guide their direction. By analogy it is a combinatorial optimization and ant colony foraging behavior and structure of an algorithm can be used to solve various combinatorial optimization problems, the code used to solve the production scheduling problem
Date : 2025-12-24 Size : 20kb User : 穆海华
[AI-NN-PR] EMdemo DL : 0: n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.-n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar-xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
Date : 2025-12-24 Size : 13kb User : 徐剑
[AI-NN-PR] BP DL : 1: 基于BP神经网络的参数自学习控制（1）确定BP网络的结构，即确定输入层节点数M和隐含层节点数Q，并给出各层加权系数的初值和，选定学习速率和惯性系数，此时k=1；（2）采样得到rin(k)和yout(k)，计算该时刻误差error(k)=rin(k)-yout(k)；（3）计算神经网络NN各层神经元的输入、输出，NN输出层的输出即为PID控制器的三个可调参数，，；（4）根据(3.34)计算PID控制器的输出u(k)；（5）进行神经网络学习，在线调整加权系数和，实现PID控制参数的自适应调整；（6）置k=k+1，返回（1）。 -Based on the parameters of BP neural network self-learning control (1) to determine the structure of BP network, that is, determine the input layer nodes M and hidden layer nodes Q, and gives all levels of the initial value and the weighted coefficient, the selected learning rate and inertia coefficient, when k = 1 (2) sample has been rin (k) and the yout (k), calculate the moment of error error (k) = rin (k)-yout (k) (3) calculation of neural network NN all floors of the neurons in input and output, NN output layer is the output of PID controller for the three adjustable parameters,, (4) According to (3.34) Calculation of PID controller output u (k) (5) to carry out neural network learning, on-line adjustment of the weighted coefficient and, realize the adaptive PID control parameters adjust (6) purchase k = k+ 1, return (1).
Date : 2025-12-24 Size : 1kb User : dake
[AI-NN-PR] SimplifiedFuzzyARTMAPNeuralNetwork DL : 1: 简化的模糊神经网络，结构更加简单，效果相当-Simplified fuzzy neural network, structure more simple, the effect of considerable
Date : 2025-12-24 Size : 20kb User : 王宏伟
[AI-NN-PR] AdaptiveLineEnhancer DL : 1: This demonstration illustrates the application of adaptive filters to signal separation using a structure called an adaptive line enhancer (ALE). In adaptive line enhancement, a measured signal x(n) contains two signals, an unknown signal of interest v(n), and a nearly-periodic noise signal eta(n). The goal is to remove the noise signal from the measured signal to obtain the signal of interest.
Date : 2025-12-24 Size : 114kb User : zqq
[AI-NN-PR] fuzzy-pid DL : 2: 该文提出调整系统控制量的模糊PID控制器的计算机设计与仿真。以碱回收炉的水位控制为例具体论述调整系统控制量的模糊PID控制器的设计、2－D控制表的建立、以及控制器计算机设计与仿真的实现。借助MATLAB模糊控制工具箱和SIMULINK仿真工具进行的仿真实验表明，该控制器既吸收了模糊控制器良好的动态性能，又克服了模糊控制器静态性能较差的缺点。并且为碱回收炉上汽包水位控制提出了一种新的尝试。该控制器结构简单、参数调整方便、快捷。-In this paper, adjust the volume of the system control computer fuzzy PID controller design and simulation. To Recovery Boiler water level control system as an example of specific control adjust the volume on fuzzy PID controller design ,2-D control of table creation, as well as controller design and simulation of computer implementations. Fuzzy Control Toolbox with MATLAB and SIMULINK simulation tools to carry out the simulation experiments show that the controller not only absorbed a fuzzy controller good dynamic performance, but also overcome the poor performance of the fuzzy controller static shortcomings. SAIC for the Recovery Boiler water level control package presents a new attempt. The controller structure is simple and adjust parameters conveniently and quickly.
Date : 2025-12-24 Size : 69kb User : 叶正涛
[AI-NN-PR] 1 DL : 0: BP神经网络已广泛应用于非线性建摸、函数逼近、系统辨识等方面，但对实际问题，其模型结构需由实验确定，无规律可寻。简要介绍了利用 Matlab语言进行 BP网络建立、训练、仿真的方法及注意事项。 -BP neural network has been widely used in nonlinear modeling, function approximation, system identification, etc., but the practical problems, the model structure required by the experiment, if there is no law to be found. Briefly introduce the use of Matlab language BP networks, training, simulation methods and Cautions.
Date : 2025-12-24 Size : 91kb User : 覃亮朋
[AI-NN-PR] sjwl DL : 0: 神经网络理论与MATLAB7实现书籍和源码打包在一起了. 分别介绍了几种比较重要的神经网络类型，包括感知器、线性网络和BP网络等，并介绍了这些网络的结构及学习算法，以及MATLAB的实现方法。第6章介绍了神经网络的图形用户界面-Neural network theory and realize MATLAB7 source books and packaged together., Respectively, introduce a number of more important types of neural networks, including perceptrons, linear network and BP network, and introduce the network structure and learning algorithm, as well as the realization of methods of MATLAB. Chapter 6 introduced a neural network graphical user interface
Date : 2025-12-24 Size : 13.01mb User : ssdfd
[AI-NN-PR] Fuzzy_neuralcode DL : 0: 该代码实现了一中具有补偿的模糊神经网络结构，通过对一个函数的仿真，可以看出，该结构相应快速，输出稳定-The code to achieve a compensation with fuzzy neural network structure, a function of the simulation, we can see that the structure of the corresponding fast, stable output
Date : 2025-12-24 Size : 3kb User : 潇布衣
[AI-NN-PR] SPath DL : 0: 原创，A-star算法求解最短路径，寻路问题。求解效率高，且对于理解A-Star算法和数据结构链表操作有非常有用。-Original, A-star algorithm for solving the shortest path routing problem. Solving high efficiency, and for understanding the A-Star algorithm and data structure linked list has a very useful operation.
Date : 2025-12-24 Size : 2kb User : lys
[AI-NN-PR] matlab DL : 0: matlab LMBP算法网络结构优化的新方法人工神经网络-matlab LMBP network structure optimization algorithm new method of artificial neural network
Date : 2025-12-24 Size : 304kb User : YangRui

« 12 3 »