Space Transformation of Small-Cultural Service Complex Based on Finite State Machine
Kaidi Xiang, Hongjie Ni, Zhen Liu, Dan Zhang · 2021
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.