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This paper presents a non-linear, data driven Adaptive Network based Fuzzy Inference System (ANFIS) modeling of a Two Tanks Hydraulic System (TTHS). The paper also addresses the design of a Type 1 Fuzzy Logic Controller optimized with Genetic Algorithms (GA). The controller was designed and tested in simulation with the obtained ANFIS model and validated in real-time with the actual TTHS. Obtained...
We applied genetic programming algorithm to learn the behavior of an occupant in single person office based on motion sensor data. The learned rules predict the presence and absence of the occupant with 80%-83% accuracy on testing data from 5 different offices. The rules indicate that the following variables may influence occupancy behavior: 1) the day of week, 2) the time of day, 3) the length of...
Accurate prediction of labor migration account is important basis of correct migration decision-making and reasonable utilization and orderly transformation of rural labor. Because labor migration account is influenced by various uncertain factors of society and economy, but random constant ?? in terminal sets of GP can balance the influence of related factor of measurand, therefore GP is applied...
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