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ATOMS : Lolimot details
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Lolimot

A fast neural network - LOcal LInear MOdel Tree
(8034 downloads for this version - 13715 downloads for all versions)
Details
Version
2.0.1
A more recent valid version exists: 2.1
Author
Yann COLLETTE
Owner Organization
Home
Maintainers
Yann Collette
Administrator Atoms
Samuel Gougeon
License
Creation Date
September 26, 2012
Source created on
Scilab 5.4.x
Binaries available on
Scilab 5.4.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit MacOSX
Scilab 5.5.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit MacOSX
Install command
--> atomsInstall("lolimot")
Description
            
The Lolimot model (LOcal LInear MOdel Tree) is a model from the neural network
family. It is able to learn every kind of non-linear relationship.
Compared to a classical neural network, the learning phase of a LOLIMOT model is
quite fast and deterministic.
Once a model is learnt, you have an easy access to analytical derivatives of
your model through a call to the function estim_der_lolimot.
            
Files (3)
[15.13 kB]
Source code archive
makes it available for scilab 5.4
[95.75 kB]
OS-independent binary for Scilab 5.4.x
Binary version
Automatically generated by the ATOMS compilation chain

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

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