文章基本信息

标题：Maximum Power Point Tracking Method Based on Perturb and Observe Coupled with a Neural Network for Photovoltaic Systems Operating Under Fast Changing Environments
本地全文：下载
作者：Yesid Briceno-Fajardo ; Gustavo Cerda-Villafana ; Sergio Ledesma-Orozco 等
期刊名称：Journal of Systemics, Cybernetics and Informatics
印刷版ISSN：1690-4532
电子版ISSN：1690-4524
出版年度：2019
卷号：17
期号：4
页码：46-49
出版社：International Institute of Informatics and Cybernetics
摘要：
The paper highlights issues of studying artificial intelligence (AI). The path taken here is to engage the reader in a discussion of interdisciplinarity/crossdisciplinarity of AI studies. It begins with a basic assumption and key argument that antidisciplinarity rather than inter- or multi-disciplinarity will bring a new dynamic to scientific research dealing with "artificial intelligence" and "artificial sociality". Discussion of the social scientists' concerns and problems is reported in what follows. On this base the authors develop their ideas which may help theorists and empirical researchers to tackle questions of AI development in a society. In a conclusion the paper makes correlations of the research outcomes with a reality of higher education.