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Neural Network Design Steps

In the remaining sections of this topic, you will follow the standard steps for designing neural networks to solve problems in four application areas: function fitting, pattern recognition, clustering, and time-series analysis. The work flow for any of these problems has seven primary steps. (Data collection in step 1, while important, generally occurs outside the MATLAB® environment.)

  1. Collect data

  2. Create the network

  3. Configure the network

  4. Initialize the weights and biases

  5. Train the network

  6. Validate the network

  7. Use the network

You will follow these steps using both the GUI tools and command-line operations in the following sections:

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