CAJ | 학술논문

运用随机森林算法设计出一种立体车库运行模式识别方法。通过采集当前升降机运行中输入的有效数据，组成原始训练数据，利用随机森林算法建立运行模式识别模型，代入立体车库的运行参数后，得到群控立体车库的运行模式。实验结果表明，随机森林算法在立体车库运行模式识别中，能有效识别出当前运行模式。该算法适用于识别立体车库群控系统的运行模式，具有广泛的扩展性。
운용수궤삼림산법설계출일충입체차고운행모식식별방법。통과채집당전승강궤운행중수입적유효수거，조성원시훈련수거，이용수궤삼림산법건립운행모식식별모형，대입입체차고적운행삼수후，득도군공입체차고적운행모식。실험결과표명，수궤삼림산법재입체차고운행모식식별중，능유효식별출당전운행모식。해산법괄용우식별입체차고군공계통적운행모식，구유엄범적확전성。
The Random Forest Algorithm is adopted to design a stereoscopic garage pattern recognition system. By collecting the valid data in the current lifts operation to form the primary training data, it establishes a pattern recognition model by using the Random Forest Algorithm,and then it brings the operating parameters of the lifts into the pattern recognition model which is built on the basis of the Random Forest Algorithm to obtain the traffic mode of the group control stereoscopic garage. Experimental results show that the random forests algorithm can effectively identify the current traffic patterns. The experimental results explain that the algorithm is applicable to identify the stereoscopic garage modes of group control system and it has the extensive scalability.