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The rock mass parameters and the grout take data were pre-processed and cleaned to be used as input for multiple regression modelling and Adaptive Neuro Fuzzy Inference System (ANFIS).
However, some methods and algorithms were developed to shorten the NDoE process, as sensitivity analysis, surrogate modelling and adaptive DoE.
This paper deals with modelling and adaptive output tracking of a Transverse Flux Permanent Magnet Machine (TFPM) as a non-linear system with unknown nonlinearities by utilizing High Gain Observer (HGO) and Radial Basis Function (RBF) networks.
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The full histories of deformation in simple model, complete model and adaptive model are simulated successfully.
Fixed parameter models and adaptive models are used for mode switching, and a re-initialized adaptive model is also considered.
(2) Secondly, compute curvature-driven model and adaptive filter coefficient, respectively.
Both integer non-linear programming (INLP) model and adaptive genetic algorithm (GA) are explored.
The proposed control scheme is a combination between multiple model and adaptive reconfiguration control.
The proposed framework combines multiple forecasting models and adaptive machine learning techniques for information processing.
In this section, a complexity estimation model and adaptive slice partition algorithm to achieve load-balanced slice parallelization are proposed.
Numerical simulations are conducted based on the proposed INLP model and adaptive GA for CoMP-oriented optical resource optimization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com