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首页> 外文期刊>Journal of Systemics, Cybernetics and Informatics >Maximum Power Point Tracking Method Based on Perturb and Observe Coupled with a Neural Network for Photovoltaic Systems Operating Under Fast Changing Environments
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Maximum Power Point Tracking Method Based on Perturb and Observe Coupled with a Neural Network for Photovoltaic Systems Operating Under Fast Changing Environments

机译:基于扰动的最大功率点跟踪方法与快速变化环境中操作的光伏系统耦合的基于扰动和观察

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The paper highlights issues of studying artificial intelligence(AI). The path taken here is to engage the reader in a discussionof interdisciplinarity/crossdisciplinarity of AI studies. It beginswith a basic assumption and key argument that antidisciplinarityrather than inter- or multi-disciplinarity will bringa new dynamic to scientific research dealing with "artificialintelligence" and "artificial sociality". Discussion of the socialscientists' concerns and problems is reported in what follows.On this base the authors develop their ideas which may helptheorists and empirical researchers to tackle questions of AIdevelopment in a society. In a conclusion the paper makescorrelations of the research outcomes with a reality of highereducation.
机译:本文突出了学习人工智能(AI)的问题。这里所采取的道路是在AI研究的跨学科/跨性思想讨论中接触读者。它开始了一个基本的假设和关键论证,即反对主义而不是多学科或多学科将使新的动态与“人为intelligence”和“人工社会性”的科学研究带来新的动态。讨论社会科学教徒的关切和问题据报道,这一基础提交人们培养了他们的想法,这些想法可能会帮助您的思想和实证研究人员在社会中解决一系列的问题。结论了纸质的研究结果与高表程的现实。

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