CHEN Tianlei, NIU Mengshi, XIE Sa. “FATTING PILE EFFECT” AND CHANGE LAWS OF COLLAPSIBLE COEFFICIENTS COMPACTED WITH SDS PILES IN SELF-WEIGHT COLLAPSE LOESS FOUNDATION[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(6): 6-10. doi: 10.13204/j.gyjz202006002
Citation:
Liu Minggui, Peng Junwei. PREDICTION OF VERTICAL ULTIMATE BEARING CAPACITY OF SINGLE PILE BASED ON GENETIC ALGORITHM AND SUPPORT VECTOR MACHINE[J]. INDUSTRIAL CONSTRUCTION, 2007, 37(2): 60-64. doi: 10.13204/j.gyjz200702015
CHEN Tianlei, NIU Mengshi, XIE Sa. “FATTING PILE EFFECT” AND CHANGE LAWS OF COLLAPSIBLE COEFFICIENTS COMPACTED WITH SDS PILES IN SELF-WEIGHT COLLAPSE LOESS FOUNDATION[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(6): 6-10. doi: 10.13204/j.gyjz202006002
Citation:
Liu Minggui, Peng Junwei. PREDICTION OF VERTICAL ULTIMATE BEARING CAPACITY OF SINGLE PILE BASED ON GENETIC ALGORITHM AND SUPPORT VECTOR MACHINE[J]. INDUSTRIAL CONSTRUCTION, 2007, 37(2): 60-64. doi: 10.13204/j.gyjz200702015
The prediction model of vertical ultimate bearing capacity of single pile is built by combining improved genetic algorithm and support vector regression machine.The practical data are used to train the support vector machine whose parameters are determined in global optimization by improved genetic algorithm.Thus,a prediction model with better generalizing capacity is built.The study shows that this method is effective for determining the parameters of support vector machine,and the results are satisfactory.