The model or model configuration shall be considered to comply with the applicable requirements if

A model update facility updates parameters of the model using the error signal (E).

The model is a neural network model.

Each data template may include template sensor data and template event data.

Pattern adaptation may include pattern code-domain reduction, pattern timing-domain reduction, and pattern frequency-domain reduction.

The first model and the second model are combined.

  The model parameters include an electric model describing the temperature characteristic and a thermal model describing the thermal characteristic corresponding to the electric model.

A template is provided with a template ID and a template Data Authentication Code (DAC(t)).

A method for comparing a first model (100) and a second model (150).

At least one portion of the model coordinates is correlated to the identified image coordinates, the model and the scaled model differing from one another by a model scaling factor.

The network model may include underlying networks that are represented with one of two models, the link model or the star model.

Model inspection is performed on the re-extracted generalised model.

Data collection template: the template provided is informative.

Data collection template: the template provided is informative

Each terminal can also store a second or background template which can be swapped in for the current or foreground template when a change of allocation is desired.