CAJ | 학술논문

在基本粒子群算法的基础上,提出了一种基于以e为底的指数函数的惯性权重策略的改进粒子群算法。将粒子群算法引入大坝安全监控领域,并结合坝体位移的多元回归统计模型,建立基于改进粒子群算法的大坝安全监控模型,并应用于新安江大坝的安全监测。实际应用表明,改进粒子群算法与最小二乘法、基本粒子群算法相比,预报结果精度较高且收敛速度较快。
재기본입자군산법적기출상,제출료일충기우이e위저적지수함수적관성권중책략적개진입자군산법。장입자군산법인입대패안전감공영역,병결합패체위이적다원회귀통계모형,건립기우개진입자군산법적대패안전감공모형,병응용우신안강대패적안전감측。실제응용표명,개진입자군산법여최소이승법、기본입자군산법상비,예보결과정도교고차수렴속도교쾌。
Based on the basic particle swarm algorithm,an improved particle swarm algorithm is put forward for the weight strategy of the exponential function with e inertia for bottom.A dam deformation forecasting model is established based on the improved particle swarm algorithm and the traditional multi statistical regression model,which is used in Xin＇anjiang dam＇s safety monitoring.The application in practical engineering shows that the improved particle swarm algorithm is better than the least square method and basic particle swarm algorithm in fast convergence and high accuracy.