getModel

Get underlying neural network model of signal anomaly detector

Since R2023a

Syntax

m = getModel(d)

Description

m = getModel(d) returns the underlying model of the signal anomaly detector d. m is a dlnetwork and initialized when the detector is trained.

Examples

Neural Network Model of LSTM Anomaly Detector

Create an object that uses a long short-term memory (LSTM) autoencoder model to detect anomalies in four-channel signals. Use deepSignalAnomalyDetector with default property values.

D = deepSignalAnomalyDetector(4,"lstmautoencoder");

Get the underlying neural network model of the LSTM anomaly detector. Use the analyzeNetwork (Deep Learning Toolbox) function to inspect the model.

M = getModel(D);
analyzeNetwork(M)

Input Arguments

d — Anomaly detector

deepSignalAnomalyDetectorCNN object | deepSignalAnomalyDetectorLSTM object | deepSignalAnomalyDetectorLSTMForecaster object

Anomaly detector, specified as a deepSignalAnomalyDetectorCNN object, a deepSignalAnomalyDetectorLSTM object, or a deepSignalAnomalyDetectorLSTMForecaster object. Use the deepSignalAnomalyDetector function to create d.

Output Arguments

m — Underlying neural network model

dlnetwork object

Underlying neural network model of detector d, returned as a dlnetwork (Deep Learning Toolbox) object.

Version History

Introduced in R2023a