Neural Networks: Difference between revisions
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== Model theory == | == Model theory == | ||
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== Excel == | == Excel == | ||
Latest revision as of 14:26, 1 May 2025
Description
This article describes methods for training and deploying neural network models.
Model theory
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Excel
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The Neural Network training method may be invoked from the Excel formula bar with the following function calls:
=mdNeuralNet_Train(Parameters as Range, TrainingData as Range, Optional TestData as Range = Nothing)
Invoking the function with no arguments will print Help text associated with the model, including a link to this page.
An example image below shows the selection of the input parameters and model results in the Excel interface:
Figure 1. Example showing the selection of the Parameters (blue frame), TrainingData (red frame), TestData (purple frame), and Results (light blue frame) arrays in Excel.
The Neural Network processing method may be invoked from the Excel formula bar with the following function calls:
=mdNeuralNet_Process(NetworkDefinition as Range, X as Range)
Invoking the function with no arguments will print Help text associated with the model, including a link to this page.
An example image below shows the selection of the input parameters and model results in the Excel interface:
Figure 2. Example showing the selection of the NetworkDefinition (blue frame), X (red frame), and Results (light blue frame) arrays in Excel.
SysCAD
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