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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
標簽： package multi-label includes networks
上傳時間： 2013-12-05
上傳用戶：xsnjzljj
This complete matlab for NEURAL network
標簽： complete network matlab NEURAL
上傳時間： 2016-11-17
上傳用戶：wsf950131
classic SOM program for using with Matlab NEURAL network toolbox useful for data classification etc.
標簽： classification for classic program
上傳時間： 2013-12-14
上傳用戶：csgcd001
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
標簽： corresponding time-series predicted analysis
上傳時間： 2016-11-27
上傳用戶：cjl42111
GENETIC ALGORITHM FOR NEURAL NETWORKS ON TRANSPUTERS (Source code and Reference)
標簽： TRANSPUTERS ALGORITHM Reference NETWORKS
上傳時間： 2016-12-01
上傳用戶：lindor
計算最優化網絡節點傳輸路徑的NEURAL network 模型，測試通過4個nodes
上傳時間： 2013-12-20
上傳用戶：xc216
3-4-2 NEURAL network algorithum
標簽： algorithum network NEURAL
上傳時間： 2016-12-14
上傳用戶：lz4v4
1-1-1 NEURAL network
上傳時間： 2014-01-21
上傳用戶：zhanditian
using delta rule NEURAL network
標簽： network NEURAL using delta
上傳時間： 2014-12-22
上傳用戶：talenthn
* Lightweight backpropagation NEURAL network. * This a lightweight library implementating a NEURAL network for use * in C and C++ programs. It is intended for use in applications that * just happen to need a simply NEURAL network and do not want to use * needlessly complex NEURAL network libraries. It features multilayer * feedforward perceptron NEURAL networks, sigmoidal activation function * with bias, backpropagation training with settable learning rate and * momentum, and backpropagation training in batches.
標簽： backpropagation implementating Lightweight lightweight
上傳時間： 2013-12-27
上傳用戶：清風冷雨
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