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ATOMS : Neural Network Module details
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Neural Network Module

This is a Scilab Neural Network Module which covers supervised and unsupervised training algorithms
(1801 downloads for this version - 1801 downloads for all versions)
Details
Version
2.0
Author
Tan Chin Luh
Owner Organization
Trity Technology
Maintainers
Chin Luh Tan
Administrator Atoms
Yann Debray
License
Creation Date
July 23, 2016
Source created on
Scilab 5.5.x
Binaries available on
Scilab 5.5.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit MacOSX
Scilab 6.0.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit MacOSX
Install command
--> atomsInstall("neuralnetwork")
Description
            This Neural Network Module is based on the book "Neural Network
Design" book by Martin T. Hagan. 

The module could be used to build following netwroks
1. Perceptron
2. Adaline
3. Multilayer Feedforware Backpropagation Network
   - Gradient Decent
   - Gradient Decent with Adaptive Learning Rate
   - Gradient Decent with Momentum
   - Gradient Decent with Adaptive Learning Rate and Momentum
   - Levenberg–Marquardt
4. Competitive Network
5. Self-Organizing Map
6. LVQ1 Network
            
Files (4)
[763.20 kB]
Source code archive

[567.74 kB]
OS-independent binary for Scilab 5.5.x
Binary version (all platforms)
Automatically generated by the ATOMS compilation chain

[653.41 kB]
OS-independent binary for Scilab 6.0.x
Binary version (all platforms)
Automatically generated by the ATOMS compilation chain

[674.69 kB]
Miscellaneous file
Binary version (all platforms)
Automatically generated by the ATOMS compilation chain

News (0)
Comments (2)     Leave a comment 
Comment from Yann Debray -- July 25, 2016, 02:18:04 PM    
Beautiful toolbox !
Here is the document on which this toolbox is based:
http://hagan.okstate.edu/NNDesign.pdf
Answer from Chin Luh Tan -- August 1, 2016, 05:05:37 AM    
> Beautiful toolbox !
> Here is the document on which this toolbox is based:
> http://hagan.okstate.edu/NNDesign.pdf

Thanks for the ebook, I never notice it was there! 
Comment from Yann Debray -- July 28, 2016, 10:27:08 AM    
This comment has been deleted.
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