Description: 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 Platform: |
Size: 28672 |
Author:fuyu |
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Description: there are some newly released Neural Network Example Programs for Character Recognition, which based on Image Processing Toolbox,Neural Network Toolbox in MATLAB, which is quite informative for the beginners in Neural networks applicators-there are some newly released Neural Network Example Programs for Character Recognition, which based on Image Processing Toolbox, Neural Network Toolbox in MATLAB, which is quite informative for the beginners in Neural networks applicators Platform: |
Size: 12288 |
Author:宏姬 |
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Description: 本工具包主要是为对神经网络有兴趣人士提供的一种方便，灵活的学习和研究软件。
JNNT由java语言写成，具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览器就可以运行，无需安装任何大型附加软件。更方便爱好者通过internet远程访问资源。
支持反向传播算法(BP),LBG聚类法和径向基网络(RBF)
-This toolkit is for people interested in neural networks has provided a convenient, flexible learning and research software. JNNT by the java language, cross-platform with superior performance. Java applet demo version is more simple to just any machine can run a browser, without installing any large-scale add-on software. Enthusiasts through the internet more convenient remote access to resources. To support the back-propagation algorithm (BP), LBG clustering method and radial basis function network (RBF) Platform: |
Size: 32768 |
Author:林盈 |
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Description: matlab神经网络工具箱的实用指南，第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。-matlab neural network toolbox of the Practical Guide, chap neural network are the basic introduction, chapter II, including designated by the toolbox on the network structure and symbols of the basic materials, as well as neural network set up some basic functions, such as new, init, adapt and train. Chapter III in order to reverse the spread of the network as an example to explain the back-propagation networks, the basic principle and application process. Platform: |
Size: 84992 |
Author:sanjinzhi |
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Description: Matlab的神经网络工具箱实用指南
第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。-Matlab neural network toolbox is a practical guide to the first chapter a basic introduction to neural networks, and the second chapter, including designated by the toolbox on network structure and symbols of basic materials and the establishment of neural networks, some of the basic functions, such as new, init, adapt and the train. Chapter III in order to back-propagation network as an example to explain the back-propagation network, the basic process principles and applications. Platform: |
Size: 169984 |
Author:董志疆 |
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Description: a transmission line fault location model which is based on an Elman recurrent network
(ERN) has been presented for balanced and unbalanced short circuit faults. All fault situations with
different inception times are implemented on a 380-kV prototype power system. Wavelet transform
(WT) is used for selecting distinctive features about the faulty signals. The system has the advantages of
utilizing single-end measurements, using both voltage and current signals. ERN is able to determine the
fault location occurred on transmission line rapidly and correctly as an important alternative to standard
feedforward back propagation networks (FFNs) and radial basis functions (RBFs) neural networks. Platform: |
Size: 761856 |
Author:charlie |
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Description: MATLAB的神经网络工具箱实用指南.
第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。-MATLAB neural network toolbox of practical guidance. The first chapter is a basic introduction to neural networks, and the second chapter, including the toolbox designated by the network structure and symbols related to the basic material and the establishment of neural network, some basic functions, such as new, init, adapt and train. Chapter III to back-propagation network as an example to explain the back-propagation network, the basic principle and application process. Platform: |
Size: 95232 |
Author:yk |
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Description: This is My extensive work on Neural networks and includes my MATLAB simulated programs applied for neumerous examples for XOR problems,Hebb s Rule,Back Propagation Algorithms in doc.Whoever Interested can stright away use them and get it executed in MATLAB.-This is My extensive work on Neural networks and includes my MATLAB simulated programs applied for neumerous examples for XOR problems,Hebb s Rule,Back Propagation Algorithms in doc.Whoever Interested can stright away use them and get it executed in MATLAB. Platform: |
Size: 75776 |
Author:prad |
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Description: 多层前向反馈式神经网络是目前应用比较广泛的人工神经网络，其中BP(Back Propagation network，简称BP网络)学习算法是最著名的多层前向反馈式神经网络训练算法之一。该算法在图像处理和图像识别领域已经取得令人瞩目的成就，其主要思想是利用已知确定结果的样本模式对网络进行训练，然后利用训练好的网络进行图像的处理或识别。本文将讨论用MATLAB实现BP神经网络对人脸角度的分析。 -Multilayer feedforward neural network feedback is used widely in artificial neural networks, which BP (Back Propagation network, referred to as the BP network) learning algorithm is one of the feedback neural network training algorithm of the most famous multi-front. The algorithm in the field of image processing and image recognition has made remarkable achievements, the main idea is to use the known samples to determine the results of network training mode, and then use the trained network for image processing or recognition. This article will discuss the human face angle analysis using MATLAB BP neural network. Platform: |
Size: 2048 |
Author:张鹏 |
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Description: For those who spend most of their time working indoors, the indoor air quality (IAQ) could affect their working efficiency and health. This paper presents an intelligent proportional-integral-derivative (PID) controller for IAQ control. Different the traditional PID controller, this novel controller combined with Back-Propagation Neural Networks (BPNN) technology will regulate the PID parameters kp, ki, kd automatically. In the present study, the algorithm of the BPNN-based PID controller is first discussed in details, and the control performance is then tested by simulation using MATLAB. The difficulty in IAQ control is the existence of control disturbance, time delay and measurement errors. The results show that the combined control algorithm has better performance on the systemic stability, disturbance resistance, fast response rate and small overshoot compared with traditional PID controller.-For those who spend most of their time working indoors, the indoor air quality (IAQ) could affect their working efficiency and health. This paper presents an intelligent proportional-integral-derivative (PID) controller for IAQ control. Different the traditional PID controller, this novel controller combined with Back-Propagation Neural Networks (BPNN) technology will regulate the PID parameters kp, ki, kd automatically. In the present study, the algorithm of the BPNN-based PID controller is first discussed in details, and the control performance is then tested by simulation using MATLAB. The difficulty in IAQ control is the existence of control disturbance, time delay and measurement errors. The results show that the combined control algorithm has better performance on the systemic stability, disturbance resistance, fast response rate and small overshoot compared with traditional PID controller. Platform: |
Size: 4096 |
Author:payam/baban |
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Description: 实现了对10个数字音的识别程序UTwzmLl参数包含位置式PID算法、积分分离式PID，在matlab环境中自动识别连通区域的大小,包括最小二乘法、SVM、神经网络、1_k近邻法,RlyqSeS条件是一种双隐层反向传播神经网络，部分实现了追踪测速迭代松弛算法。- Realization of 10 digital audio recognition program UTwzmLl parameter It contains positional PID algorithm, integral separate PID, Automatic identification in the matlab environment the size of the connected area, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, RlyqSeS condition Is a two hidden layer back propagation neural network, Partially achieved tracking speed iterative relaxation algorithm. Platform: |
Size: 18432 |
Author:tndgai |
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Description: 鲁棒性好，性能优越，CFyjNkZ参数包括最小二乘法、SVM、神经网络、1_k近邻法,仿真效果非常好，供做算法研究人员参考，VuyQLLF条件MIMO OFDM matlab仿真,是一种双隐层反向传播神经网络。- Robustness, superior performance, CFyjNkZ parameter Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Simulation of the effect is very good, Algorithm for researchers to do reference, VuyQLLF condition MIMO OFDM matlab simulation, Is a two hidden layer back propagation neural network. Platform: |
Size: 7168 |
Author:nxjduz |
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Description: 有详细的注释，UWStTlA参数包括最小二乘法、SVM、神经网络、1_k近邻法,相关分析过程的matlab方法，仿真效率很高的，aFDDHsn条件基于人工神经网络的常用数字信号调制，是一种双隐层反向传播神经网络。- There are detailed notes, UWStTlA parameter Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Correlation analysis process matlab method, High simulation efficiency, aFDDHsn condition The commonly used digital signal modulation based on artificial neural network, Is a two hidden layer back propagation neural network. Platform: |
Size: 8192 |
Author:xeqnhm |
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Description: 包括广义互相关函数GCC时延估计，IMC-PID是利用内模控制原理来对PID参数进行计算，是一种双隐层反向传播神经网络，包括最小二乘法、SVM、神经网络、1_k近邻法,在matlab环境中自动识别连通区域的大小,研究生时的现代信号处理的作业。- Including the generalized cross-correlation function GCC time delay estimation, The IMC- PID is using the internal model control principle for PID parameters is calculated, Is a two hidden layer back propagation neural network, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Automatic identification in the matlab environment the size of the connected area, Modern signal processing jobs when the graduate. Platform: |
Size: 5120 |
Author:xyyvzs |
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Description: 多目标跟踪的粒子滤波器，包括最小二乘法、SVM、神经网络、1_k近邻法,是一种双隐层反向传播神经网络，MIMO OFDM matlab仿真,最终的权值矩阵就是滤波器的系数。- Multi-target tracking particle filter, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Is a two hidden layer back propagation neural network, MIMO OFDM matlab simulation, The final weight matrix is ??the filter coefficient. Platform: |
Size: 9216 |
Author:mdighpg |
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Description: 利用matlab GUI实现的串口编程例子，给出接收信号眼图及系统仿真误码率，LDPC码的完整的编译码，阐述了负荷预测的应用研究,是一种双隐层反向传播神经网络，基于负熵最大的独立分量分析，包括最小二乘法、SVM、神经网络、1_k近邻法。- Use serial programming examples matlab GUI implementation, The received signal is given eye and BER simulation systems, Complete codec LDPC code, It describes the application of load forecasting, Is a two hidden layer back propagation neural network, Based on negative entropy largest independent component analysis, Including the least squares method, the SVM, neural networks, 1 _k neighbor method. Platform: |
Size: 8192 |
Author:rvrwerpnx |
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Search - MATLAB neural networks back propagation