Multi-layer architecture for adaptive fuzzy inference system with a large number of input features
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DOI: 10.1016/j.cogsys.2016.11.006
Abstract: The Sugeno adaptive fuzzy neural network using training data is a good approximation to model different systems. The large number of adaptive neuro-fuzzy inference system (ANFIS) input features is a major challenge in using ANFIS… read more here.
Keywords: input features; input; topology; adaptive fuzzy ... See more keywords
Improving Symbolic Regression for Predicting Materials Properties with Iterative Variable Selection.
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DOI: 10.1021/acs.jctc.2c00281
Abstract: Symbolic regression offers a promising avenue for describing the structure-property relationships of materials with explicit mathematical expressions, yet it meets challenges when the key variables are unclear because of the high complexity of the problems.… read more here.
Keywords: iterative variable; regression; input features; symbolic regression ... See more keywords