Description: 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.-Single-layer neural networks can be train ed using various learning algorithms. The best- known algorithms are the Adaline. 102206 and Backpropagation algorithms fo r supervised learning. The first two are specific ic to single-layer neural networks while the th ird can be generalized to multi-layer perceptr ons. Platform: |
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Author:陈伟 |
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Description: Backpropagation
Backpropagation is a supervised learning algorithm and is mainly used by Multi-Layer-Perceptrons to change the weights connected to the net s hidden neuron layer(s).
The backpropagation algorithm uses a computed output error to change the weight values in backward direction. Platform: |
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Author:muchizmo |
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Description: Neural Networks Backpropagation Simulator in Java. Converted C++ codes of the book, C++ Neural Networks and Fuzzy Logic)-Neural Networks Backpropagation Simulator in Java. Converted C++ codes of the book, C++ Neural Networks and Fuzzy Logic) Platform: |
Size: 82944 |
Author:mllab |
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