用C寫的神經網絡,adaline,SOM,BAM,BPN,CPN,HOPFIELD,絕對經典、實用，測試OK！
上傳時間： 2017-04-04
上傳用戶：hongmo
用C寫的神經網絡,adaline,SOM,BAM,BPN,CPN,HOPFIELD,絕對經典、實用，測試OK！
上傳時間： 2013-12-26
上傳用戶：思琦琦
神經網絡 adaline
上傳時間： 2017-05-20
上傳用戶：xuanchangri
一組老外編寫的神經網絡源代碼，非常值得收藏和研究。有BPN、ART1、adaline、SOM、CPN、HOPFIELD、BOLTZMAN等神經網絡。吐血推薦在進行神經網絡編程的朋友下載。
上傳時間： 2015-03-18
上傳用戶：Yukiseop
神經網絡算法源程序，如SOM、HOPFIELD、CPN、BPN、BOLTZMAN、ART、adaline，同時提供針對不同算法的演示源程序。
上傳時間： 2015-03-25
上傳用戶：zjf3110
自適應(Adaptive)神經網絡源程序 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
標簽： collection implement Adaptive adaptive
上傳時間： 2015-04-09
上傳用戶：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
標簽： Neural collection implement Adaptive
上傳時間： 2013-12-23
上傳用戶：teddysha
Windrow-Hoff學習算法的源程序，實現adaline機器的自適應學習，功能用于字符識別，完全界面顯示。
標簽： Windrow-Hoff 學習算法 源程序
上傳時間： 2013-12-24
上傳用戶：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.
標簽： Single-layer algorithms best-known networks
上傳時間： 2015-06-17
上傳用戶：趙云興
幾個神經網絡算法的例程，包括前向adaline, 共振art1, boltzman機, hopfield 網絡, 自組織som 等等.
標簽： 神經網絡算法
上傳時間： 2015-08-11
上傳用戶：ANRAN
