4.2 Article

Optimization of STP Innovation Management Mechanisms Driven by Advanced Evolutionary IoT Arithmetic

Journal

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
Volume 2021, Issue -, Pages -

Publisher

HINDAWI LTD
DOI: 10.1155/2021/1698089

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This paper introduces an effective method for optimizing the high technology policy innovation management mechanism driven by advanced evolutionary IoT algorithms, emphasizing the importance of enhancing national high technology innovation capacity and optimizing high technology policy innovation management in the face of global manufacturing trends and loss of competitive advantage. Through a conceptual analysis and application overview of popular information technologies, such as big data, artificial intelligence, and IoT technologies, this paper proposes the majorization of high technology policy innovation management mechanism with the support of technical advancements in big data and AI.
Since industrialization, manufacturing has been an important pillar of a country's economic development. Under the dual pressure of the new trend of global manufacturing development and the loss of competitive advantage of manufacturing industry, it is especially important to accelerate the enhancement of national high technology innovation capacity and the optimization of high technology policy innovation management mechanism driven by advanced evolutionary Internet of Things (IoT) arithmetic. The main of this paper thus introduces the effective method of optimization of high technology policy innovation management mechanism driven by advanced evolutionary IoT arithmetic. To study the optimization of high technology policy innovation management mechanism, a conceptual analysis of currently popular information technologies, such as big data technologies, artificial intelligence technologies, and Internet of Things technologies, and an overview of the application of these technologies in microgrids are given. In the paper, all factors are studied using the STP innovation management mechanism-based approach, and finally, all factors are classified into two categories of cause and effect factors by this approach, and the importance of all factors is ranked. Secondly, a wind power prediction algorithm based on data mining technology and an improved algorithm and a PV power prediction algorithm based on a deep neural network were established with the technical support of high-tech information technology such as big data and artificial intelligence. Finally, the majorization of high technology policy innovation management mechanism driven by advanced evolutionary IoT arithmetic is proposed.

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