Hello,
I see that you are trying to customize the performance function in a neural network to minimize the absolute error for each individual prediction instead of using the default mean squared error.
You can follow the below steps to achieve this:
- Define a custom performance function that calculates the absolute error for each prediction and checks if it is within a threshold.
- Modify the neural network training process to use this custom function by setting it in the network's performance function property.
- Implement the custom function in MATLAB by creating a new function file and assigning it to the network's "performFcn" property.
- Ensure the custom function outputs the performance value and its derivative for backpropagation during training.
Please refer to the below documentation for more information.
Neural Network Object Properties - "net.performFcn": https://www.mathworks.com/help/deeplearning/ug/neural-network-object-properties.html#bss4hk6-52
I hope this helps.
