Description: BP神经网络算法的matlab代码，本程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。希望有用-BP neural network algorithm Matlab code, the procedures under the trained network file ANN.mat anticipating new data files, be mean square error, paint and forecast data and the original data in contrast to Fig. Hope useful Platform: |
Size: 16108 |
Author:杨力 |
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Description: BP神经网络在MATLAB上的方便实现,这个方法好-BP neural network in MATLAB to facilitate the achievement of the good methods Platform: |
Size: 307200 |
Author:bungee |
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Description: 这是个基于监督式bp神经网络的分类元程序，希望对大家能有所帮助
-This is a supervised bp based on neural network classification yuan procedures in the hope that we can to help Platform: |
Size: 5120 |
Author:pearllu |
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Description: 转载得有关利用遗传算法优化bp神经网络得源程序中得有关初始化函数编写-reproduced in the use of genetic algorithm optimization bp neural network in the source in the preparation of the initialization function Platform: |
Size: 137216 |
Author:raul |
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Description: matlab写的神经网络的几个演示程序，有的是自己写的，有的是根据别人写的改的，bp、rbf、pnn、hopfield等-matlab neural network to write a few demo program, some wrote it myself, some other people to write in accordance with the change, bp, rbf, pnn, hopfield etc. Platform: |
Size: 7168 |
Author:billjie |
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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: 基于神经网络算法，构建了一个三层的bp网络，用来识别5，6，7，8，9五个数字，在matlab环境下运行成功，对于了解神经网络控制算法很有帮助,并附有训练和测试数据-Based on neural network algorithm, to build a three-bp network, used to identify five digits 5,6,7,8,9, in the matlab environment running successfully, for the understanding of neural network control algorithm helpful, together with training and test data Platform: |
Size: 5120 |
Author:ison |
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Description: 基于BP神经网络整定的PlD控制，神经网络，根据系统的运行状态，调节PID控制器的参数，以期达到某种性能指标
的最优化，使输出层神经元的输出状态对于控制器的三个可调参数-BP neural network based on the PLD-tuning control, neural network, in accordance with the system running, adjusting the parameters of PID controller with a view to attaining certain performance metrics are optimized so that the output layer neuron output state for the three controllers can be tune parameters Platform: |
Size: 1024 |
Author:feiyang |
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Description: 三个不同的MATLAB神经网络程序，其中一个没有用到MATLAB中的神经网络工具箱中的函数，希望对大家有用-Three different procedures for MATLAB neural network, one of which is not used in the MATLAB neural network toolbox of the function, in the hope that useful Platform: |
Size: 11264 |
Author:zhang jin fan |
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Description: BP神经网络股票建模,随着股票市场混沌和分形理论的逐步确立，人们开始利用神经网络对证券市场的变动加以预测。本文的研究目的在于为股市提供一种基于BP神经网络的股价预测方法，以便提高股价预测时的运算速度和精确度，为股票市场的个人投资者和机构投资者提供新的实用方法。-BP neural network modeling of stock, with the stock market chaos and fractal theory established step by step, people began to make use of neural networks to forecast changes in the securities market. This study aimed at the stock market to provide a neural network based on BP s share price forecasting methods, in order to improve the stock price forecasts computational speed and accuracy for the stock market by individual investors and institutional investors to provide a new practical method. Platform: |
Size: 13312 |
Author:wangjin |
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Description: 基于BP神经网络识别字符的简单实验。实验内容是数字的识别。-Based on BP Neural Network Recognition of characters in a simple experiment. Experimental identification of digital content. Platform: |
Size: 238592 |
Author:王博 |
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Description: 本人修改过的elm的matlab算法，该算法比原来的elm的算法在超过3个神经元后的计算速度能明显加快！原理是运用函数产生列矩阵！！
ELM 是一种快速的神经网络算法，本人已经比较过，比很多流行的算法（BP,SVM）都快,而且效果很好，运行环境是matlab，可以测试所有的benchmark的数据-I modified elm of matlab algorithm elm than the original algorithm in more than three neurons after the computing speed can significantly speed up! The principle is to use functions to generate the matrix out! ! ELM is a fast neural network algorithm, I have a comparison, than many popular algorithms (BP, SVM) faster, and the effect of good operating environment is matlab, you can test all of the benchmark data Platform: |
Size: 3072 |
Author:chenlei |
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Description: 本文在简要介绍了MA TLAB 和BP 网络的基
础上, 详细论述了在MA TLAB611 中, 如何利用其提供的神经网络工具箱实现BP 网络的设计, 最后给出了一个BP 网络的设计实例。
-This paper briefly introduced the MA TLAB and BP network based on the detail in the MA TLAB611, how to use its neural network toolbox provided realize the design of BP network, and finally gives a design example of BP network. Platform: |
Size: 232448 |
Author:崔艳 |
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Description: 利用遗传算法优化BP神经网络
即用遗传算法代替BP网络中的训练函数-The use of genetic algorithm to optimize BP neural network using genetic algorithms in place of BP network training function Platform: |
Size: 2048 |
Author:zhouye |
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Description: 自己写的matlab源程序，神经网络原理与模式识别上的一个作业题，关于对数字1～9的识别的，用BP神经网络matlab工具箱来做的。-Their own source code written in matlab, neural network theory and pattern recognition operation on a title, with respect to figures 1 to 9 of identification, using BP neural network toolbox matlab to do the. Platform: |
Size: 8192 |
Author:wangdenuan |
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Description: 使用MATLAB自己实现的一个BP神经网络的程序，程序中封装了一个函数，需要输入数据。上传的文件包中有一个Data文件，里面输入的数据和调用命令。-Use MATLAB to achieve one of their own BP neural network procedures, procedures in packages of a function, the need to input data. Upload a document package, there is a Data file, which input data and call the command. Platform: |
Size: 1024 |
Author:dd |
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Description: 一种改进的BP算法在模糊神经网络中的应用，性能得到很好的改善。-An Improved BP Algorithm in the fuzzy neural network applications, performance is very good improvement. Platform: |
Size: 349184 |
Author:zhangxiang |
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Description: 该课题为基于MATLAB bp神经网络的雾霾天气下交通标志的识别系统。主要分两步骤，一是进行图像去雾，采用暗通道的方法获取光透射率，从而去除雾霾。得到清晰的图片后，利用颜色的方法进行交通标志的定位，众所周知，交通标志基本是红，蓝，黄三色组成，根据RGB不同组合可以定位到不同颜色，因为存在误差，所以需要借助形态学相关知识，将得到的误干扰面积去除，从而实现精准定位。定位后，在原图基础上进行分割出彩色图标，利用bp神经网络方法，进行训练，识别，从而得出结果。本设计配有一个GUI可视化界面，操作简单容易上手。是个不错的选题。(This project is a traffic sign recognition system based on Matlab bp neural network in haze weather. There are two steps. One is image defogging, and the dark channel method is used to obtain light transmittance to remove haze. After getting clear pictures, use color method to locate traffic signs. As we all know, traffic signs are basically composed of red, blue and yellow. According to different combinations of RGB, different colors can be located. Because there are errors, we need to use morphological knowledge to remove the error interference area, so as to achieve accurate positioning. After positioning, the color icon is segmented on the basis of the original image. The BP neural network method is used to train and identify the color icon, and the result is obtained. This design is equipped with a GUI visual interface, which is easy to operate. It's a good topic.) Platform: |
Size: 83507200 |
Author:可乐一生 |
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