Solve the regression analysis dilemma by iterating the cost function, and acquire great final results, a with no complicating the model. It also improves the interpretability of explanatory variables. We apply the fractional differential to gradient descent, and evaluate the functionality of L-Palmitoylcarnitine Endogenous Metabolite fractional-order gradient descent with that of integer-order gradient descent. It was identified that the fractional-order includes a more rapidly convergence rate, greater fitting accuracy and decrease prediction error than the integer-order. This supplies an option technique for fitting and forecasting GDP and has a specific reference worth.Axioms 2021, 10,9 ofAuthor Contributions: J.W. supervised and led the arranging and execution of this investigation, proposed the research notion of combining fractional calculus with gradient descent, Cyfluthrin Epigenetics formed the general analysis objective, and reviewed, evaluated and revised the manuscript. In line with this analysis purpose, X.W. collected data of economic indicators and applied statistics to create a model and used Python software program to write codes to analyze information and optimize the model, and lastly wrote the initial draft. M.F. reviewed, evaluated and revised the manuscript. All authors have study and agreed to the published version from the manuscript. Funding: This work is partially supported by Education Object of Higher Level and Revolutionary Talents of Guizhou Province ((2016)4006), Important Analysis Project of Revolutionary Group in Guizhou Education Division ([2018]012), the Slovak Investigation and Development Agency beneath the contract No. APVV-18-0308 and by the Slovak Grant Agency VEGA No. 1/0358/20 and No. 2/0127/20. Institutional Evaluation Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: https://data.worldbank.org.cn/. Acknowledgments: The authors are grateful for the referees for their cautious reading of the manuscript and precious comments. The authors thank the help in the editor too. Conflicts of Interest: The authors declare no conflict of interest.
huge information and cognitive computingArticleEffects of Neuro-Cognitive Load on Understanding Transfer Working with a Virtual Reality-Based Driving SystemUsman Alhaji Abdurrahman 1, , Shih-Ching Yeh two , Yunying Wong three and Liang WeiSchool of Data Science and Technology, Fudan University, Shanghai 200433, China; [email protected] Division of Laptop or computer Science and Information Engineering, National Central University, Taoyuan City 32001, Taiwan; [email protected] College of Psychology, Fudan University, Shanghai 200433, China; [email protected] Correspondence: [email protected] or [email protected]: Abdurrahman, U.A.; Yeh, S.-C.; Wong, Y.; Wei, L. Effects of Neuro-Cognitive Load on Studying Transfer Employing a Virtual Reality-Based Driving Technique. Significant Information Cogn. Comput. 2021, 5, 54. https://doi.org/ ten.3390/bdcc5040054 Academic Editors: Achim Ebert, Peter Dannenmann and Gerrit van der Veer Received: 13 August 2021 Accepted: 7 October 2021 Published: 13 OctoberAbstract: Understanding the techniques different people perceive and apply acquired expertise, in particular when driving, is an crucial area of study. This study introduced a novel virtual reality (VR)-based driving technique to ascertain the effects of neuro-cognitive load on finding out transfer. Inside the experiment, uncomplicated and hard routes had been introduced for the participants, and the VR program is capable of recording eye-gaze, pupil dilation, heart price, at the same time as driving efficiency information. So.