本程序實做MLP(Multi-layer Perceptron)算法，使用者可以自行設定訓練數(shù)據(jù)集與測試數(shù)據(jù)集，將訓練數(shù)據(jù)集加載，在2、3維下可以顯示其分布狀態(tài)，并分別設定鍵節(jié)值、學習率、迭代次數(shù)來訓練其類神經(jīng)網(wǎng)絡，最后可觀看辨識率與RMSE（Root Mean squared error）來判別訓練是否可以停止。
標簽： Multi-layer Perceptron MLP 程序
上傳時間： 2013-12-24
上傳用戶：caozhizhi
Neural Network Perceptron use MFC
標簽： Perceptron Network Neural MFC
上傳時間： 2016-03-09
上傳用戶：yoleeson
Perceptron matlab code
標簽： Perceptron matlab code
上傳時間： 2013-12-21
上傳用戶：bcjtao
包含用lms、mse、Perceptron準則函數(shù)的二類分類器
標簽： Perceptron lms mse 準則
上傳時間： 2013-12-26
上傳用戶：PresidentHuang
感知器（Perceptron) 單層感知器神經(jīng)元模型圖,我們可以看出感知器的基本功能是將輸入矢量轉化成0或1的輸出。這一功能可以通過在輸入矢量空間里的作圖來加以解釋。
標簽： Perceptron 輸入 矢量 模型
上傳時間： 2016-12-12
上傳用戶：四只眼
A simple One layer Perceptron classifier written in CSharp and using the AForge framework
標簽： classifier Perceptron framework written
上傳時間： 2013-12-06
上傳用戶：13160677563
自適應(Adaptive)神經(jīng)網(wǎng)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
annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.
標簽： Artificial developed implement Network
上傳時間： 2014-08-17
上傳用戶：trepb001
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
