Neural Network Time Series Prediction and Modeling
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Resource Overview
The simplest approach to understanding command-line functions in the toolbox is to start with the GUI, generate automated scripts, and then modify them for customized network training.
Detailed Documentation
The most straightforward method to learn command-line functionality in the toolbox is to begin with the graphical user interface (GUI). First, use the GUI to auto-generate configuration scripts, then modify these scripts according to specific project requirements. This workflow typically involves adjusting hyperparameters like hidden layer sizes, training epochs, and activation functions. Additionally, you can participate in specialized network training sessions to customize your scripts and gain deeper insights into command-line implementations, including key functions such as train() for model optimization and predict() for time series forecasting.
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