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http://eprints.hud.ac.uk/21540/1/UKCI2014R1final.pdf

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he method combines the Adaptive Neuro Fuzzy Inference System (ANFIS) and Grey system theory to predict thermal errors in machining. Instead of following a traditional approach, which utilises original data patterns to construct the ANFIS model, this paper proposes to exploit Accumulation Generation Operation (AGO) to simplify the modelling procedures. AGO, a basis of the Grey system theory, is used to uncover a development tendency so that the features and laws of integration hidden in the chaotic raw data can be sufficiently revealed.

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This page is a summary of: A novel approach for ANFIS modelling based on Grey system theory for thermal error compensation, September 2014, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/ukci.2014.6930155.
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