Preprocessing Input Data for Training Time-Delayed Neural Networks (TDNN)ΒΆ

This example suggests a eight-step reference work process for the preparation of input data to increase the performance in training a time-delayed neural networks (TDNN).

Input Parameters

  1. Input time series data

Output Parameters

  1. Preprocessed input data available for training TDNN

Workflow

../../_images/workflow93.svg