Results 31 to 40 of about 2,970,912 (342)
Rule based workload control in semiconductor manufacturing revisited [PDF]
International Journal of Production Research, 2020 An essential task in manufacturing planning and control is to determine when to release orders to the shop floor. A prominent approach is the workload control (WLC) concept which originated from the idea of controlling flow times by controlling order releases.
Philipp Neuner, Stefan Haeussler
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Energies, 2023 Learning an optimal control strategy from the optimized operating dataset is a feasible way to improve the operational efficiency of HVAC systems. The operation dataset is the key to ensuring the global optimality and universality of the operation ...
Zhe Tian +4 more
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Rules and similarity - a false dichotomy [PDF]
, 2005 Unless restricted to explicitly held, sharable beliefs that control and justify a person’s behavior, the notion of a rule has little value as an explanatory concept.
Hampton, J. A.
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Sensors, 2023 Today, climate change combined with the energy crisis is accelerating the worldwide adoption of renewable energies through incentive policies. However, due to their intermittent and unpredictable behavior, renewable energy sources need EMS (energy ...
Lamine Chalal +2 more
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Attribute oriented induction with star schema [PDF]
, 2010 This paper will propose a novel star schema attribute induction as a new attribute induction paradigm and as improving from current attribute oriented induction.
H, Spits Warnars H. L.
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Identification of Evolving Rule-based Models. [PDF]
, 2002 An approach to identification of evolving fuzzy rule-based (eR) models is proposed. eR models implement a method for the noniterative update of both the rule-base structure and parameters by incremental unsupervised learning.
Angelov, Plamen, Buswell, Richard
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Energies, 2019 Hybrid electric vehicles (HEVs) require supervisory controllers to distribute the propulsion power from sources like an engine and motors. Control concepts based on optimal control theories such as dynamic programming (DP) and Pontryagin’s minimum ...
Haeseong Jeoung, Kiwook Lee, Namwook Kim
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Fuzzy rule-based networks for control [PDF]
IEEE Transactions on Fuzzy Systems, 1994 The authors present a method for learning fuzzy logic membership functions and rules to approximate a numerical function from a set of examples of the function's independent variables and the resulting function value. This method uses a three-step approach to building a complete function approximation system: first, learning the membership functions ...
Higgins, Charles M., Goodman, Rodney M.
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Controlling False Positives in Association Rule Mining [PDF]
, 2011 Association rule mining is an important problem in the data mining area. It enumerates and tests a large number of rules on a dataset and outputs rules that satisfy user-specified constraints.
Liu, Guimei +2 more
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World Electric Vehicle JournalEnergy Management Strategies (EMSs) are crucial for enhancing fuel economy and reducing emissions in light commercial vehicles (LCVs). This paper presented three EMS approaches for LCVs with hybrid powertrains: Rule-Based Control (RBC) and two ...
Zihao Guo +3 more
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