用C写的神经网络,ADALINE,SOM,BAM,BPN,CPN,HOPFIELD,绝对经典、实用，测试OK！
上传时间： 2017-04-04
上传用户：hongmo
用C写的神经网络,ADALINE,SOM,BAM,BPN,CPN,HOPFIELD,绝对经典、实用，测试OK！
上传时间： 2013-12-26
上传用户：思琦琦
神经网络 ADALINE
上传时间： 2017-05-20
上传用户：xuanchangri
一组老外编写的神经网络源代码，非常值得收藏和研究。有BPN、ART1、ADALINE、SOM、CPN、HOPFIELD、BOLTZMAN等神经网络。吐血推荐在进行神经网络编程的朋友下载。
上传时间： 2015-03-18
上传用户：Yukiseop
神经网络算法源程序，如SOM、HOPFIELD、CPN、BPN、BOLTZMAN、ART、ADALINE，同时提供针对不同算法的演示源程序。
上传时间： 2015-03-25
上传用户：zjf3110
自适应(Adaptive)神经网络源程序 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables
标签： collection implement Adaptive adaptive
上传时间： 2015-04-09
上传用户：ywqaxiwang
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables is included
标签： Neural collection implement Adaptive
上传时间： 2013-12-23
上传用户：teddysha
Windrow-Hoff学习算法的源程序，实现ADALINE机器的自适应学习，功能用于字符识别，完全界面显示。
标签： Windrow-Hoff 学习算法 源程序
上传时间： 2013-12-24
上传用户：思琦琦
Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the ADALINE, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer perceptrons.
标签： Single-layer algorithms best-known networks
上传时间： 2015-06-17
上传用户：赵云兴
几个神经网络算法的例程，包括前向ADALINE, 共振art1, boltzman机, hopfield 网络, 自组织som 等等.
标签： 神经网络算法
上传时间： 2015-08-11
上传用户：ANRAN
