Space Transformation of Small-Cultural Service Complex Based on Finite State Machine

Kaidi Xiang, Hongjie Ni, Zhenye Liu, Dan Zhang
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Abstract

The variety of cultural activity spatial transformation methods based on finite state machines (FSM) are proposed to solve the problem of activity spatial transformations within a limited time. In this paper, we first investigate and extract the spatial characteristics of each activity in the SCSC, and establish a mathematical model. Then, we use the decision tree (DT) method to classify the various activity spaces and build a hierarchical FSM model based on the classification results. Finally, we conduct simulation experiments to verify the feasibility of the FSM model of the active spaces.
基于有限状态机的小型文化服务综合体空间转换
为了解决有限时间内的活动空间转换问题,提出了多种基于有限状态机的文化活动空间转换方法。本文首先研究并提取了供应链中各项活动的空间特征,并建立了数学模型。然后,利用决策树(DT)方法对各个活动空间进行分类,并根据分类结果建立层次FSM模型。最后,通过仿真实验验证了活动空间FSM模型的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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