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OPTIMAL FEED-FORWARD NEURAL NETWORK ARCHITECTURES George Be bis and Michael Georgiopoulos Department of Electrical & Computer Engineering University of Central Florida, Orlando, FL 32816 USA 1. Why
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The optimal feed-forward neural network is a type of artificial neural network where the information flows only in one direction, from the input layer to the output layer, without any loops or cycles.
There is no specific requirement for filing an optimal feed-forward neural network as it is a concept used in the field of machine learning and artificial intelligence.
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The purpose of an optimal feed-forward neural network is to learn complex patterns and relationships in data, and make predictions or classifications based on the trained model.
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