Performance forecasting...
I want to start the training of my ANN with 13 input data, three layers. my problem is, does my actual output has to be 13 input data as well? or can it be any number too.
How do i bring down the different unit of measurements? i have data with units of measurements in; hours, days, percentage, tons, TEU, metres, and monetary units. to make it simple, data representation.?
Dear Penn Collins
The prediction result of ANN for 13 inputs may be either 1 or 13, and that totally depends upon user requirement. That means you required either multi input single output or multi input multi output system.
I agree with Radha MOHAN Pattanayak. The output of your model depends on your regression task/problem. So, in case, you want to apply the Multi-Output Regression Model, I suggest to read this tutorial "How to Develop Multi-Output Regression Models with Python". https://machinelearningmastery.com/multi-output-regression-models-with-python/.
For the data representation, you can apply "How to Grid Search Data Preparation Techniques" https://machinelearningmastery.com/category/data-preparation/
Any of your measurement is considered as a different feature. Therefore, you will finally have a feature matrix which is given to ANN
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