Neural Network Based Threshold Determination for Malaysia License Plate Character Recognition
標(biāo)簽： Determination Recognition Character Threshold
上傳時(shí)間： 2017-08-22
上傳用戶：l254587896
Water Level Control by Fuzzy Logic and Neural Networks
標(biāo)簽： Networks Control Neural Water
上傳時(shí)間： 2017-09-01
上傳用戶：baitouyu
nonlinear system identification using neural networks on matlab
標(biāo)簽： identification nonlinear networks neural
上傳時(shí)間： 2017-09-23
上傳用戶：tianyi223
BackPropation algorithm for neural networks
標(biāo)簽： BackPropation algorithm networks neural
上傳時(shí)間： 2013-12-21
上傳用戶：lhw888
Speech Recognition using Neural Networks
標(biāo)簽： Recognition Networks Speech Neural
上傳時(shí)間： 2013-12-25
上傳用戶：FreeSky
Neural Networks and Deep Learning（簡(jiǎn)體中文），比較經(jīng)典的深度學(xué)習(xí)入門教程。
標(biāo)簽： Networks Learning Neural Deep and 簡(jiǎn)體中文
上傳時(shí)間： 2016-11-09
上傳用戶：zhousui
The purpose of this computer program is to allow the user to construct, train and test differenttypes of artificial neural networks. By implementing the concepts of templates, inheritance andderived classes from C++ object oriented programming, the necessity for declaring multiple largestructures and duplicate attributes is reduced. Utilizing dynamic binding and memory allocationafforded by C++, the user can choose to develop four separate types of neural networks:
標(biāo)簽： differenttype construct computer purpose
上傳時(shí)間： 2013-12-06
上傳用戶：13517191407
aiNet application is a very powerful and a very simple tool for solving the problems which are usually solved with artificial neural networks (ANN). All possible tests we had run proved that the results obtained with aiNet are at least as good as the results obtained with some other ANNs. Let us state some of aiNet抯 features. (c) aiNet 1995-1997
標(biāo)簽： very application powerful problems
上傳時(shí)間： 2014-01-16
上傳用戶：wang5829
there are some newly released Neural Network Example Programs for Character Recognition, which based on Image Processing Toolbox,Neural Network Toolbox in MATLAB, which is quite informative for the beginners in Neural networks applicators
標(biāo)簽： Recognition Character Programs released
上傳時(shí)間： 2015-09-17
上傳用戶：CHINA526
MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers: G. A. Barreto & A. F. R. Araujo (2004) "Identification and Control of Dynamical Systems Using the Self-Organizing Map" IEEE Transactions on Neural Networks, vol. 15, no. 5.
標(biāo)簽： implementation prediction described following
上傳時(shí)間： 2013-12-22
上傳用戶：windwolf2000
蟲(chóng)蟲(chóng)下載站版權(quán)所有 京ICP備2021023401號(hào)-1
