Among these, statistical analysis techniques have gained popularity, with researchers employing algorithms such as regression, decision trees, trading rules, support vector regression (SVR), and fuzzy systems (Dymova et al., 2016; Achchab et al., 2017). Raimundo and Okamoto (2018) contributed to...
The findings highlight how quantum computing has the potential to completely transform predictive analytics in the medical field, especially when it comes to improving patient care after TAVR. Keywords: ant colony optimization; adaptive network-based fuzzy inference system; eXplainable AI; quantum ...
DENNIS H. ROUVRAY, in Fuzzy Logic in Chemistry, 1997 IV QUANTUM INDETERMINACY As the subject of quantum theory has now been broached, it is perhaps opportune to say something about quantum uncertainty at this point. The discovery toward the end of the nineteenth century that the laws of physi...
The fuzzy quantum proton in the hydrogen chloride hydrates. J. Am. Chem. Soc 134, 8557–8569 (2012). Article CAS PubMed Google Scholar Dammak, H., Antoshchenkova, E., Hayoun, M. & Finocchi, F. Isotope effects in lithium hydride and lithium deuteride crystals by molecular dynamics ...
, University of Ottawa. Detailed mathematical modeling of the quadrotor's kinematics and dynamics was provided. A modular fuzzy logic approach was proposed for the autonomous control of quadrotors in...doi:10.1108/IJICC-06-2017-0058Ning XianZhilong Chen...
(see Box.1). Several quantum effects are still outside of the predictive range of applicability of complex network theory. Future work should build on recent breakthroughs and head toward a new theory of complex networks, which augments the current statistical mechanics approach to complex networks...
To solve the issues and obtain better performance, various advanced control strategies have been proposed for the steering control of the ship in recent years, such as adaptive steering control strategy [6–8], steering control strategy based on fuzzy logic algorithm [9, 10], steering controller...
4) multiple fuzzy model 多模糊模型 1. A multiple fuzzy model structure for model predictive control has been established for a nonlinear system, and its parameters have been estimated from data generated by a rigorous model. 研究了基于多模糊模型的非线性预测控制问题 ,提出了基于多模型融合的非...
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The paper defines an optimization problem in terms of process controlling and fuzzy method. The authors also studied the performance of their solution. On genetic algorithms for digital quantum simulations, see148. In149, a method for the learning of an unknown transformation via a genetic approach...