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针对大坝安全监测数据存在的多重共线性问题,利用岭回归方法建模,并采用遗传算法优化岭参数k。实例结果表明,基于遗传算法优化的岭回归较传统的最小二乘法更合理,结果更符合实际。
Aiming at the problem of multicollinearity in dam safety monitoring data, ridge regression method is used to model and the genetic algorithm is used to optimize the parameter k. The results show that the ridge regression based on genetic algorithm is more reasonable than the traditional least squares method, and the result is more realistic.