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Function approximation is a method for estimating an unknown function using observations from the domain data. Artificial neural networks can learn to approximate a function. In supervised learning, a dataset is comprised of inputs and outputs, and the supervised learning algorithm learns how to best map examples of inputs to examples of ...
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