A Fuzzy-Logic and Multi-Layer Perceptron Hybrid Model Applied to a Real World Steel-Making Problem
نویسندگان
چکیده
One of the most interesting properties of neuro-symbolic hybrid models is that they allow for the combination of knowledge-based and data-based approaches. We have used such a strategy in a large, complex steel-making problem. We present this problem together with one of the hybrid models that have been tested on it. We choose to describe this hybrid in details because it is representative of such data-knowledge integration.
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