# Demos

LMN Tool

In order to access the demos of the Local Model Networks Toolbox from the command window type `LMNTrainDemo`.

- `LMNDemo1` - Static process with 1 input and 1 output
- `LMNDemo2` - Static process with 2 inputs and 1 output
- `LMNDemo3` - Static process with 2 inputs and 1 output
- `LMNDemo4` - Static process with 2 inputs and 2 outputs

LOLIMOT

In order to access the demos for `LOLIMOT` from the command window type `lolimotDemo`.

- `lolimotDemo1` - Static process with 1 input and 1 output
- `lolimotDemo2` - Static process with 2 inputs and 1 output
- `lolimotDemo3` - Static process with 2 inputs and 2 outputs
- `lolimotDemo4` - Dynamic process of second order with 1 input and 1 output
- `lolimotDemo5` - Dynamic process of first order with 2 inputs and 2 outputs
- `lolimotDemo6` - Estimate a model given an initial structure

HILOMOT

In order to access the demos for `HILOMOT` from the command window type `hilomotDemo`.

- `hilomotDemo1` - Static process with 1 input and 1 output
- `hilomotDemo2` - Static process with 2 inputs and 1 output
- `hilomotDemo3` - Static process with 2 inputs and 2 outputs
- `hilomotDemo4` - Static process: Global estimation and ridge regression after training
- `hilomotDemo5` - Static process: Backward elimination after training
- `hilomotDemo6` - Dynamic process of second order with 1 input and 1 output
- `hilomotDemo7` - Dynamic process of first order with 2 inputs and 2 outputs
- `hilomotDemo8` - Dynamic prosess: Parameter estimation in NARX, IV and NOE setting

HILOMOTDOE

The following demos for `HILOMOTDOE` are available:

- `demoHilomotDoEClass.m`
- `DoECallUpDEMO.m`
- `makeCandidatePointsDEMO.m`