基于SVM的静压管桩单桩极限承载力预测

摘要

为了提高静压管桩单桩极限承载力的预测精度,本文在构建的静压管桩单桩极限承载力指标体系的基础上,建立了静压管桩单桩极限承载力的支持向量机预测模型,应用该模型对实际工程中静压管桩单桩极限承载力进行预测,并运用BP神经网络预测模型与其做对比,试验结果表明,支持向量机对静压管桩单桩极限承载力具有较好的预测性能.%To improve ultimate bearing capacity prediction accuracy of static pressure pile, this paper created the support vector machine prediction model and applied the model to predicte the ultimate bearing capacity of static pressure pile based on the index system in the actual engineering. This paper also created the BP neural network predictiion model, test results showes that support vector machine predictiion model for ultimate bearing capacity of static pressure pile has better prediction performance.