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Modelling of manufacturing processes by a computational intelligence approach
Published 2015“…A study of the literature also reveals that extensive focus has been paid to computational intelligence (CI) methods such as genetic programming (GP), M5ʹ, adaptive neuro fuzzy inference system (ANFIS), artificial neural network (ANN), support vector regression (SVR), etc. for modelling the output variables of the systems because of their ability to formulate the models based only on data obtained from the system. …”
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Pairwise Stability in Two Sided Market with Strictly Increasing Valuation Functions
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General Bindings and Alpha-Equivalence in Nominal Isabelle
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Termination of Rewriting with Right-Flat Rules Modulo Permutative Theories
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A Finite-Model-Theoretic View on Propositional Proof Complexity
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SPRINGS OF VARIABLE STIFFNESS IN THE CONTROL OF SEISMIC ACTIONS IN BUILDINGS
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Learning Reduplication with a Neural Network that Lacks Explicit Variables
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A Characterisation of Open Bisimilarity using an Intuitionistic Modal Logic
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A Focused Sequent Calculus Framework for Proof Search in Pure Type Systems
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Analytic Tableaux for Simple Type Theory and its First-Order Fragment
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