基于土地利用生态适宜性视角的人工智能大数据“一体化”创新创业生态系统建设路径探索

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS
Wenchao Zhou, Ting Yang
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引用次数: 0

摘要

生态环境一直是反映人与自然的重要前提。建设反映了一个国家整体的发展程度和文明程度,因此它关系到人类的未来。土地利用深度整合是解决生态文明发展转型过程中复杂问题的重大突破。本文通过构建“融合型”创新创业生态文明体系,从土地利用和生态适宜性角度,将人工智能和大数据应用于创新创业生态体系建设路径。通过Matlab软件分别在寄生模式、偏倚共生模式、非对称共生模式和对称共生模式下进行了仿真研究。研究结果显示,寄生模式下的相关主体规模仅为创业型企业主体规模的70.43%。在偏倚共生模型中,相关主体的主体规模为创业企业主体规模的87.82%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration of the construction path of artificial intelligence big data "integrated" innovation and entrepreneurship ecosystem from the perspective of land use ecological suitability
Ecological environment has always been an important prerequisite while reflecting people and nature. The construction reflects the degree of development and civilization of a country as a whole, so it is related to the future of mankind. The deep integration of land use is a major breakthrough in solving the complex problems in the process of ecological civilization development and transformation. By establishing a "fusion" innovation and entrepreneurship ecological civilization system, this paper applies artificial intelligence and big data in the construction path of innovation and entrepreneurship ecological system from the perspective of land use and ecological suitability. Simulation studies were conducted in parasitic mode, biased symbiosis mode, asymmetric symbiosis mode, and symmetric symbiosis mode respectively through Matlab software. According to the results of the study, the subject size of the relevant subjects in the parasitic mode is only 70.43% of the subject size of the entrepreneurial enterprise. In the biased symbiosis model, the subject size of the relevant subject is 87.82% of the subject size of the entrepreneurial enterprise.
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来源期刊
3C Tic
3C Tic COMPUTER SCIENCE, THEORY & METHODS-
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