Faculty of Management and Economics, Kunming University of Science and Technology, Kunming, Yunnan 650500, China.
Anqing Normal University, Anqing, Anhui 246133, China.
Comput Intell Neurosci. 2021 Dec 29;2021:1698089. doi: 10.1155/2021/1698089. eCollection 2021.
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.
自工业化以来，制造业一直是一个国家经济发展的重要支柱。在全球制造业发展新趋势和制造业竞争优势丧失的双重压力下，加快提升国家高新技术创新能力和先进进化物联网 (IoT) 算法驱动的高新技术政策创新管理机制优化尤为重要。因此，本文主要介绍了先进进化 IoT 算法驱动的高新技术政策创新管理机制的优化方法。为了研究高新技术政策创新管理机制的优化，对目前流行的信息技术，如大数据技术、人工智能技术和物联网技术进行了概念分析，并概述了这些技术在微电网中的应用。在本文中，所有因素都使用基于 STP 创新管理机制的方法进行研究，最后，通过该方法将所有因素分为因果因素两类，并对所有因素的重要性进行了排序。其次，在大数据和人工智能等高科技信息技术的技术支持下，建立了基于数据挖掘技术和改进算法的风力发电预测算法以及基于深度神经网络的光伏功率预测算法。最后，提出了先进进化 IoT 算法驱动的高新技术政策创新管理机制的优化。
