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Navigation: Library > Signal > Control > Neural Networks > mlpnetwork |
  
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Signal\Control\Neural Networks
Domains: Continuous, Discrete. Size: 1-D. Kind: Block Diagrams.
This is a masked model which opens the MLP Editor when edited. Using this editor the settings for a MLP Network can be entered.
Inputs |
Description |
any |
The user can defined any network input. |
error
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The error signal: the difference between the desired output and the network output. |
Outputs |
Description |
any |
The user can defined any network output. |
Parameters |
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nr_hidden learning_rate readWeights writeWeights |
Number of hidden neurons. The learning rate. A boolean: Load weights before simulation. A boolean: Save weights after simulation. |