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Character_Recognition_Using_Neural_Networks
- Character Recognition Using Neural Networks Steps to use this GUI. 1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored) 2. First we need to teach Character to computer. For this ty
joone-ext
- Java Object Oriented Neural Engine是一个用Java写的神经网络框架。它由一个核心引擎，一个GUI编辑器和一个分布式训练环境组成。可以通过写新的模块来扩展它，以实现新的算法或始于基础组件的新的体系结构。-Java Object Oriented Neural Engine is a Java was the neural network framework. It consists of a core engine, a GUI editor and a comp
trnn
- 神经网络训练，应用matlab7NN包，用一个隐藏层使用5折交叉验证。-Training the Neural Network This scr ipt is something that I did for a course at Uni. It uses the Neural Networking package provided with MatLab 7 unfortunately I m not sure if it s available with the earlier ve
gskmadechar
- 基于神经网络的字母和数字识别，采用matlab编写带有gui界面-Based on neural network identification letters and numbers used to prepare with a gui interface matlab
neural_fundametal_logic
- By designing in matlab GUI, this source code support for student to check four fundametal logic such as AND, NAND, OR, NOR in neural network.
bp_demo
- BP神经网络在GUI中的实现实例，希望对大家有用-BP neural network implementation in the GUI in the example, we hope to be useful
GMDH-(Function-Approximation)
- A project for function approximation by GMDH neural network (with GUI).
facerecognition
- 利用神经网络进行人脸识别，解压后运行faceCore会有GUI界面，可以用文件中自带的图片进行匹配-use neural network to conduct facerecognition.
PCALDA
- pca+lda+bp神经网络的人脸识别 有GUI实现 在MATLAB8.0运行有用 毕业设计用-GUI of the face recognition of pca+lda+bp neural network to achieve useful for graduation designed to run in MATLAB8.0
som_antconc_results
- 聚类是对数据对象进行划分的一种过程，与分类不同的是，它所划分的类是未知的，这是一个“无指导的学习” 过程，本文件采用基于MATLAB GUI 编写了SOM的神经网络语料聚类分析-Corpus clustering of the SOM-based neural network analysis
BP-nerve-network
- matlab gui编程实现BP神经网络仿真-matlab gui programming to achieve the BP neural network simulation
neuroph-2.6
- Neuroph是轻量级的Java神经网络的框架，可以用来模拟常见的神经网络架构。少数基本类别相对应的基本网络的概念，它非常容易学习。它也有一个不错的GUI应用程序。 -Neuroph simplifies the development of neural networks by providing Java neural network library and GUI tool that supports creating, training and saving neural netwo
ver_0.82
- 此文件包包含用卷积神经网络识别手写输入的识别程序，数据可从MNIST下载-This release includes sample of handwritten digits recognition using CNN. If you just want to try it run cnet_tool. You ll see a simple GUI. It loads pretrained convolutional neural net from cnet.mat and recognize
shuzishibie
- 一个简单的数字识别，运用的BP神经网络训练，gui界面-A simple digital identification, the use of the BP neural network training, gui interface
matclust_v1.3
- GUI program that runs in Matlab and allows the user to draw polygons or boxes around multidimensional data points. This clustering of data is used often for multi-electrode recordings of neural data. The program has been tested on Windows, Linux, and
Shenjinwangluo
- （1） 本系统用到四种神经网络对漏电嫌疑系数进行预测，分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络，通过对神经网络结构参数的设置和调试，可以得到很好的预测效果，实际值和预测值之间的误差能达到5 以内。 （2） 本系统使用matlab做GUI界面，在界面上就可以分别对这四种神经网络的结构参数进行设置，从而可以调整神经网络的结构，达到较好的预测精度。 -(1) The system used four neural network to predict the s
guihd
- 神经网络gui代码，具有仿真界面，简单易学，欢迎下载-Neural network gui code simulation interface, easy to learn, welcome to download
第11章 用GUI设计神经网络
- MATLAB学习资料，用GUI设计神经网络，带一组测试数据。(MATLAB learning materials, using GUI to design neural network, with a set of test data.)
MATLAB雾霾交通标志shibie[GUI]
- 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
BP-neural-networks-master
- How to run the program 1. open MATLAB goto the project's root path 2. run main.m 3. in the command window it will show the accuracy calculated by testing data set 4. press any key in the command window to show the GUI for this project 5. click t