<button id="aeg2e"></button> DTNSim2 is a simulator for Delay-Tolerant Networks (DTNs) written in Java. It is based on Sushant Jain s DTNSim, which was used for the Routing in a delay tolerant network paper. It has been exensively modified.
標(biāo)簽： Delay-Tolerant simulator Networks DTNSim2
上傳時間： 2016-11-06
上傳用戶：tianyi223
M.Gast - 802.11 Wireless Networks The Definitive Guide. 2nd edition. 2005.chm
標(biāo)簽： Definitive Wireless Networks edition
上傳時間： 2016-11-07
上傳用戶：zhuyibin
RBFMIP is a package for training multi-instance RBF neural networks
標(biāo)簽： multi-instance networks training package
上傳時間： 2014-01-23
上傳用戶：refent
BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
標(biāo)簽： package multi-label includes networks
上傳時間： 2013-12-05
上傳用戶：xsnjzljj
Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
標(biāo)簽： multimedia Semantic analysis research
上傳時間： 2016-11-24
上傳用戶：蟲蟲蟲蟲蟲蟲
create figure Program for Networks
標(biāo)簽： Networks Program create figure
上傳時間： 2013-12-17
上傳用戶：bcjtao
GENETIC ALGORITHM FOR NEURAL NETWORKS ON TRANSPUTERS (Source code and Reference)
標(biāo)簽： TRANSPUTERS ALGORITHM Reference NETWORKS
上傳時間： 2016-12-01
上傳用戶：lindor
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 easily defined. An entire multi-layer network can be created in a few lines, and trained with two functions. Layers can be connected to one another easily and painlessly.
標(biāo)簽： Programmer Networks entirely network
上傳時間： 2013-12-24
上傳用戶：liuchee
java jpackek networks a java pragram
標(biāo)簽： java networks jpackek pragram
上傳時間： 2013-12-26
上傳用戶：561596
the load forecast based on Neural Networks,use the MATLAB
標(biāo)簽： the forecast Networks Neural
上傳時間： 2016-12-21
上傳用戶：iswlkje
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