MATLAB code for neural network research (e.g., backpropagation, real-time recurrent learning)
| Date | Contributor | Description | Rating |
|---|---|---|---|
| 19 Jun 2009 | MathWorks Classroom Resources Team |
This site contains code for use in neural network research. The code illustrates how to train neural networks using MATLAB and C. There is code that illustrates how to initialize and train a recurrent neural network using Williams and Zipser's Real-Time Recurrent Learning algorithm. In addition, there are files that can be used for training feedforward neural networks with a single hidden layer using error backpropagation with early stopping using MATLAB and Octave.
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| Tag | Applied By | Date/Time |
|---|---|---|
| madaline rule | Narjes | 22 Apr 2013 at 2:41pm |
| downloadable code | Charu Banga | 22 Mar 2012 at 5:04pm |
| downloadable code | Nauman Ahmed | 16 Jun 2011 at 2:16pm |
| computer science | Nauman Ahmed | 16 Jun 2011 at 2:16pm |
| downloadable code | Mobolaji | 31 Mar 2011 at 4:50am |
| language english | MathWorks Classroom Resources Team | 24 Nov 2009 at 11:11am |
| resource | MathWorks Classroom Resources Team | 24 Nov 2009 at 11:11am |
| academic | MathWorks Classroom Resources Team | 24 Nov 2009 at 11:11am |
| downloadable code | MathWorks Classroom Resources Team | 24 Nov 2009 at 11:11am |
| computer science | MathWorks Classroom Resources Team | 24 Nov 2009 at 11:11am |
| programming and computer science | MathWorks Classroom Resources Team | 24 Nov 2009 at 11:11am |