Subsequently, a PSO-GPR is proposed to estimate the state of the battery. Experiments were conducted on battery cells with different charging and discharging rates. The root mean square error (RMSE) and mean absolute error (MAE) of the SOC estimation results were obtained to be less than 3.65...
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针对该问题,利用MATLAB软件建立基于PSO–GPR(particle swarm optimization–Gaussian process regression...展开更多 The traditional prediction method of failure stress of pipeline with defects has the problem of large error.Aiming at this problem,the failure stress prediction model of pipeline with defects ...
基于PSO-GPR的短时高速公路交通量预测 作者:田甜; 田永宏粒子优化群算法高斯过程回归短时交通量预测 摘要:本文通过分析常用交通量预测算法的不足与缺陷,引入粒子群优化算法和高斯过程回归,重点研究了采用粒子群优化算法自动搜寻泛化性能最好的高斯过程回归超参数算法模型解决方案。通过建立交通量预测模型对某高速公路短时...
利用粒子群算法改进传统高斯过程模型参数优化的不足,构建预测模型.以重构序列作为预测模型的训练集和测试集,实现短时交通流预测.采用北京市东四环快速路检测器实测数据对比分析模型预测效果.结果表明,基于PSR和PSO-GPR的短时交通流预测模型评价指标均优于对比模型,其中绝对误差平均降低4.88,绝对百分比误差平均降低3.97%,均...
(PSO-LSSVR), and subsequently predicted the tunnel surrounding rock deformation using the constructed Gaussian Process Regression model (PSO-GPR).The research results indicate that the average relative error of the PSO-LSSVR reconstruction model is 1.21 %, lower than the 4.82 % of the LSSVR ...
外界环境干扰和系统误差的影响,导致重建精度过低.针对上述问题,本文提出了一种基于PSO-GSA算法和高斯过程回归补偿方法的三维视觉重建技术,具体完成内容如下: (1)针对张正友相机标定法重投影误差过大的情况,提出了一种基于粒子群引力搜索混合算法(ParticleSwarmOptimization-GravitationalSearchAlgorithm,PSO-GSA)的相机标定...
In view of the shortcomings of existing artificial neural network (ANN) and support vector regression (SVR) in the application of three-dimensional displacement back analysis, Gaussian process regression (GPR) algorithm is introduced to make up for the s
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