搜索资源列表
ann_recognition_example
- 适合神经网络初学者.程序中已经输入实验数据,在matlab环境下直接运行即可.可以输入其它新数据,并改动.-neural network for beginners. Procedures have been imported experimental data, in Matlab environment can be run directly. the importation of other new data and changes.
digitalNNS
- 一本介绍数字神经网络的电子书,非常适合神经网络初学者学习-introduced a number of neural network e-books, very suitable for beginners learning neural network
hfmodel
- 一个hopfield程序,可用于数字识别,有界面。对VC和神经网络初学者很有用 。-a hopfield procedures, may be used for digital identification, and the interface. Right VC and neural network beginners useful.
ganzhi
- 神经网络感知器做的分类器的源码,适合神经网络初学者
BP neural network is programmed with C++
- 神经网络的C语言实现,适合初学者学习使用,也可以进一步开发(BP neural network is programmed with C)
keras-master
- 神经网络用来keras框架源码,非常的适合初学者来学习卷积神经网络(Keras neural network framework for source code)
test1
- BP神经网络的测试小程序,适合初学者直接使用(BP neural network testing procedures)
软测量参考程序
- 本文件为神经网络参考程序,可提供给初学者进行参考(This document is a neural network reference program, can provide reference for beginners)
cnn
- 这是一个经过自己整理的卷积神经网络的代码,对0-9数据集进行分类的代码,使用tensorflow框架完成的,主要使用的语言是Python,可以直接运行,初学者可以用于学习交流。(This is a self compiled convolutional neural network code, 0-9 data sets for classification of code, using the tensorflow framework to complete, the main languag
code for homework3
- 本项目使用python自行实现了一遍BP算法,并大家一个三层的简易神经网络模型。供初学者使用。(This project uses Python to implement the BP algorithm once more, and we have a simple neural network model of three layers. For beginners to use.)
BP
- bp神经网络matlab实现,对bp神经网络在matlab中的简单实现,内容通俗易懂,适合初学者(Matlab implementation of BP neural network)
ACOBP
- 用蚁群算法优化BP神经网络,然后用于预测,非常实用,适合初学者。(This is the aco-bp code in matlab)
nnet
- 这是一个手动编写的BP神经网络算法,有完整注释,适合初学者。(This is a manually written BP neural network algorithm with full annotations for beginners.)
ELM
- 一种神经网络算法:极限学习机(ELM),包括分类和回归,仿真验证无误,适合初学者练习(A data mining algorithm: limit learning machine (ELM), including classification and regression, simulation verification is unmistakable, suitable for beginners to practice)
案例一
- 人工神经网络的MATLAB简单例程,可供初学者学习了解(Artificial neural network MATLAB simple routines for beginners learning to understand)
RBF
- matlab RBF神经网络程序示例,适合初学者,共六个(Example of MATLAB RBF neural network program For beginners)
deepLearningStudy
- 应用Java实现神经网络分类例程,主要用于初学者及热爱Java和机器学习的人研究神经网络(DeepLearing with Java)
人工神经网络与应用21个案例汇总
- 案例程序分析,用于神经网络编程参考;对人工神经初学者编程起指导作用(Case program analysis for neural network programming reference;The guiding role of programming for the beginners of artificial nerve)
matlab神经网络30个案例分析源程序
- matlab神经网络30个案例分析源程序,里面包含各种智能优化算法的具体实例,可以供初学者学习入门。
rbf神经网络程序和一个例子
- rbf神经网络学习例子,可以给初学者提供一个学习rbf神经网络的思路和方法,高手可以跳过就行