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Genetic algorithm is used to optimize the rule base.
A genetic algorithm is adopted to optimize the rule weights associated to the components' damage levels.
One approach could be to optimize the rule base using all possible combinations of premise/consequent possibilities.
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Meta uses a genetic algorithm to optimize the rules based on experimental observations to improve the predictions [ 18].
This requires active monitoring of choices, appropriate temporal sequencing of behaviour and the implementation of well-learned behavioural rules in order to optimize the rate of reward delivery, capacities that are associated with activity of neurons recorded in the DLPFC (Robbins, 1996; White & Wise, 1999; Hoshi & Tanji, 2004; Lee & Seo, 2007; Seo et al., 2007).
Since tuning the fuzzy rules very affects on the performance of the fuzzy system, we utilize a hybrid swarm intelligence algorithm based on firefly algorithm and simulated annealing to optimize the fuzzy rule base table of SIF.
They consider the utility based temporal association rule mining method for generating the association rules and PSO is used to optimize the generated rules.
Simulations performed to optimize the replanting decision rule showed that relatively frequent replanting is good for profit while low frequency replantations (over four banana cycles) give a better environmental evaluation.
Numerical data allow tuning the fuzzy symbols used in the rules to optimize the controller performance.
For this purpose, the adaptive network-based fuzzy inference system has been used to optimize the fuzzy IF-THEN rules and the membership functions to derive a more efficient fuzzy control.
To optimize the parameters for hard rules in the FASTER algorithm, we first prepared an EEG/EMG dataset with manual annotation of sleep/wake stages.
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