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• W2031952105 abstract "This study presents a novel hybrid intelligent system, which focuses on the optimisation of machine parameters for dental milling purposes. The basis of this approach is hybridizing two bio-inspired algorithms, as Neural Networks with Genetic Algorithms for choosing and modelling the feature subset that best descript the operation conditions. These operating conditions are given as parameters for a dental drill machine. The aim of this approach is twofold: a feature selection process is carried out while the modelling of the operating conditions is achieved. The reliability of the proposed novel hybrid system is validated with a real industrial use case, based on the optimisation of a high-precision machining centre with five axes for dental milling purposes." @default.
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• W2031952105 date "2011-10-01" @default.
• W2031952105 modified "2023-10-01" @default.
• W2031952105 title "Intelligent operating conditions design by means of bio-inspired models" @default.
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• W2031952105 doi "https://doi.org/10.1109/nabic.2011.6089731" @default.
• W2031952105 hasPublicationYear "2011" @default.
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