Demonstrates the Kohonen neural network.
资源简介:Demonstrates the Kohonen neural network.
上传时间: 2017-08-24
上传用户:zhichenglu
资源简介: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 t...
上传时间: 2015-04-09
上传用户:ywqaxiwang
资源简介: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:...
上传时间: 2013-12-23
上传用户:teddysha
资源简介:The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.
上传时间: 2015-12-01
上传用户:181992417
资源简介:BP neural network for time series analysis predicted that by entering the corresponding time-series data to predict the future, suitable for beginners on the BP neural network learning
上传时间: 2016-11-27
上传用户:cjl42111
资源简介:小波神经网络好文章!A method for fault detection is proposed using a trained neural network as the nominal model of the system to be monitored. Partial physical knowledge, if available, can be combined with the nominal model to perform fa...
上传时间: 2014-12-08
上传用户:gmh1314
资源简介:neural network some examples, and the simulation program, very comprehensive, welcome to download
上传时间: 2013-12-23
上传用户:TRIFCT
资源简介:neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object oriented and focuses on reducing tedious and confusing problems of programming neural networks. By this I mean that network layers are easi...
上传时间: 2013-12-24
上传用户:liuchee
资源简介:k-step ahead predictions determined by simulation of the % one-step ahead neural network predictor. For NNARMAX % models the residuals are set to zero when calculating the % predictions. The predictions are compared to the observed ou...
上传时间: 2016-12-27
上传用户:busterman
资源简介:% Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is possible to use regularization by % weight decay. Also pruned (ie. not fully connected) networks can % be trained. % % Given a se...
上传时间: 2016-12-27
上传用户:jcljkh