這是一個(gè)matlab實(shí)現(xiàn)第歸神經(jīng)網(wǎng)絡(luò)的例子, 實(shí)現(xiàn)的第歸神經(jīng)網(wǎng)絡(luò)是 : Real Time Recurrent LEarning
標(biāo)簽： Recurrent LEarning matlab Real
上傳時(shí)間： 2015-04-22
上傳用戶：q123321
LVQ學(xué)習(xí)矢量化算法源程序 This directory contains code implementing the LEarning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The LVQ program accepts input consisting of vectors and calculates the LVQ network weights. If a test set is specified, the winning neuron (class) for each neuron is identified and the Euclidean distance between the pattern and each neuron is reported. Output is directed to the screen.
標(biāo)簽： implementing quantization directory LEarning
上傳時(shí)間： 2015-05-02
上傳用戶：hewenzhi
LEarning the bash Shell, 3rd Edition 關(guān)于bash Shell介紹的很全面
標(biāo)簽： Shell bash LEarning Edition
上傳時(shí)間： 2013-12-15
上傳用戶：koulian
How to Think Like a Computer Scientist LEarning with Python 學(xué)習(xí)linux下Python腳本的必備書(shū)籍
標(biāo)簽： Python Scientist Computer LEarning
上傳時(shí)間： 2014-10-29
上傳用戶：heart520beat
LEarning the kalman filter (Matlab Code)
標(biāo)簽： LEarning kalman filter Matlab
上傳時(shí)間： 2015-06-07
上傳用戶：wab1981
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(biāo)簽： Single-layer algorithms best-known networks
上傳時(shí)間： 2015-06-17
上傳用戶：趙云興
LEarning Cpp as a new language.rar
標(biāo)簽： LEarning language Cpp new
上傳時(shí)間： 2015-06-22
上傳用戶：playboys0
oreilly LEarning perl
標(biāo)簽： LEarning oreilly perl
上傳時(shí)間： 2015-07-09
上傳用戶：VRMMO
LEarning-GNU-C.pdf 學(xué)寫(xiě)gnu c的資料，希望給兄弟們帶來(lái)幫助！
標(biāo)簽： LEarning-GNU-C gnu
上傳時(shí)間： 2015-07-14
上傳用戶：15736969615
a better book about LEarning C++,and have the programing code for the exercise
標(biāo)簽： programing the LEarning exercise
上傳時(shí)間： 2015-07-15
上傳用戶：gundamwzc
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