METHOD AND SYSTEM FOR PREDICTING HEIGHT OF CONFINED WATER RISING ZONE

    公开(公告)号:US20240232570A9

    公开(公告)日:2024-07-11

    申请号:US18068743

    申请日:2022-12-20

    摘要: Provided is a method and system for predicting a height of a confined water rising zone. The method includes: obtaining sample data; dividing the sample data into a training sample and a test sample; calculating a degree of correlation between a height and a correlation factor value sequence; screening correlation factors according to the degree of correlation to obtain screened correlation factors; calculating weights of the screened correlation factors using an entropy weight method (EWM); obtaining standardized screened correlation factor value sequences according to correlation factor value sequences corresponding to the screened correlation factors; calculating a value of each indicator according to the standardized screened correlation factor value sequences and the weights; and obtaining a height prediction model of a confined water rising zone based on principal component analysis (PCA)-particle swarm optimization (PSO)-support vector regression (SVR), the value of each indicator, and the test sample.

    METHOD AND SYSTEM FOR PREDICTING HEIGHT OF CONFINED WATER RISING ZONE

    公开(公告)号:US20240135137A1

    公开(公告)日:2024-04-25

    申请号:US18068743

    申请日:2022-12-20

    摘要: Provided is a method and system for predicting a height of a confined water rising zone. The method includes: obtaining sample data; dividing the sample data into a training sample and a test sample; calculating a degree of correlation between a height and a correlation factor value sequence; screening correlation factors according to the degree of correlation to obtain screened correlation factors; calculating weights of the screened correlation factors using an entropy weight method (EWM); obtaining standardized screened correlation factor value sequences according to correlation factor value sequences corresponding to the screened correlation factors; calculating a value of each indicator according to the standardized screened correlation factor value sequences and the weights; and obtaining a height prediction model of a confined water rising zone based on principal component analysis (PCA)-particle swarm optimization (PSO)-support vector regression (SVR), the value of each indicator, and the test sample.