modelRNNFlattenInput
Parameters
| Type | Name | Default | Description |
|---|---|---|---|
| Boolean | useClaRaDelay | true | |
| Integer | nInputs | 1 | Number of inputs |
| Modelica.Units.SI.Time | samplePeriod | 0.1 | sampling interval |
| Integer | nHistoricElements | 10 | Number of elements from sampling steps for each input fed to the neural net |
| Boolean | continuous | false | |
| Integer | n_tensorElements | nInputs*nHistoricElements | |
| RNNFlatteningMethod | flatteningMethod | RNNFlatteningMethod.NewFirstInputSeq | |
| Modelica.Units.SI.Time | startTime |
Components
| Type | Name | Default | Description |
|---|---|---|---|
| Boolean | sampleTrigger | ||
| Real | u | ||
| Real | inputFlattenTensor | ||
| SMArtInt.Internal.ClaRaDelay.ExternalTables | pointer_inputFlattenTensor | SMArtInt.Internal.ClaRaDelay.ExternalTables(nInputs) | |
| Real | delayTimes | {max(0, time - samplePeriod*(t - 1)) for t in 1:nHistoricElements} |