MultilayerPerceptron (3.7)

Learner

A Classifier that uses backpropagation to classify instances. This network can be built by hand, created by an algorithm or both

The network can also be monitored and modified during training time.The nodes in this network are all sigmoid (except for when the class is numeric in which case the the output nodes become unthresholded linear units).

(based on WEKA 3.7)

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify classifier-specific parameters.

Input Ports

  1. Type: Data Training data

Output Ports

  1. Type: Weka 3.7 Classifier Trained model

Find here

Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > functions

Make sure to have this extension installed:

KNIME Weka Data Mining Integration (3.7)

Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site

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