文件名称:neuro_demo

介绍说明--下载内容均来自于网络,请自行研究使用

基于神经网络的图像分类方法,代码执行效率高,国外网站上下的,是一个完整的工程-Based on neural network image classification methods, code implementation of high efficiency, foreign Web site from top to bottom, is a complete project
(系统自动生成,下载前可以参看下载内容)

下载文件列表

neuro_demo

..........\Back Propagation

..........\................\Approximation

..........\................\.............\AForge.Controls.dll

..........\................\.............\AForge.dll

..........\................\.............\AForge.Neuro.dll

..........\................\.............\Approximation.exe

..........\................\.............\Data Samples

..........\................\.............\............\sample1.csv

..........\................\.............\............\sample2.csv

..........\................\TimeSeries

..........\................\..........\AForge.Controls.dll

..........\................\..........\AForge.dll

..........\................\..........\AForge.Neuro.dll

..........\................\..........\Data Samples

..........\................\..........\............\exponent.csv

..........\................\..........\............\growing sinusoid.csv

..........\................\..........\............\parabola.csv

..........\................\..........\............\sigmoid.csv

..........\................\..........\............\sinusoid.csv

..........\................\..........\TimeSeries.exe

..........\................\XORProblem

..........\................\..........\AForge.Controls.dll

..........\................\..........\AForge.dll

..........\................\..........\AForge.Neuro.dll

..........\................\..........\XORProblem.exe

..........\Simple

..........\......\Delta Rule Learning

..........\......\...................\AForge.Controls.dll

..........\......\...................\AForge.dll

..........\......\...................\AForge.Neuro.dll

..........\......\...................\Classifier.exe

..........\......\...................\Data Samples

..........\......\...................\............\and.csv

..........\......\...................\............\cube.csv

..........\......\...................\............\or.csv

..........\......\...................\............\sample1.csv

..........\......\...................\............\sample2.csv

..........\......\One-Layer Perceptron Classifier

..........\......\...............................\AForge.Controls.dll

..........\......\...............................\AForge.dll

..........\......\...............................\AForge.Neuro.dll

..........\......\...............................\Classifier.exe

..........\......\...............................\Data Samples

..........\......\...............................\............\sample1.csv

..........\......\...............................\............\sample2.csv

..........\......\Perceptron Classifier

..........\......\.....................\AForge.Controls.dll

..........\......\.....................\AForge.dll

..........\......\.....................\AForge.Neuro.dll

..........\......\.....................\Classifier.exe

..........\......\.....................\Data Samples

..........\......\.....................\............\and.csv

..........\......\.....................\............\cube.csv

..........\......\.....................\............\or.csv

..........\SOM

..........\...\2DOrganizing

..........\...\............\2DOrganizing.exe

..........\...\............\AForge.dll

..........\...\............\AForge.Neuro.dll

..........\...\Color

..........\...\.....\AForge.dll

..........\...\.....\AForge.Neuro.dll

..........\...\.....\Color.exe

..........\...\TSP

..........\...\...\AForge.Controls.dll

..........\...\...\AForge.dll

..........\...\...\AForge.Neuro.dll

..........\...\...\TSP.exe

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