Prediction of Concrete Compressive Strength Based on Improved EM Algorithm and Ridge Regression Algorithm

With the improvement of the ridge regression and EM algorithm, the application of it in the prediction and analysis of concrete compressive strength has attracted more and more attention, and with the introduction of various new methods and theories, the EM algorithm and ridge regression parameters the application of estimation in algorithms is becoming more and more extensive. The purpose of this paper is to study the prediction of concrete compressive strength based on improved EM algorithm and ridge regression algorithm. In this paper, the principles of EM algorithm and ridge regression algorithm are described, the improved EM algorithm and ridge regression algorithm are proposed, and the prediction effect of the algorithm is tested. The experimental results show that when the real value of concrete compressive strength is 37.9mpa, the predicted value before algorithm optimization is 37.42mpa and the predicted value after algorithm optimization is 39.65mpa; Before optimization, the maximum absolute error reached 1.36mpa, and after optimization, the maximum absolute error was 0.37mpa. It can be seen that the improved EM algorithm and ridge regression algorithm have higher accuracy in predicting concrete compressive strength, and the error between them and the real value is the smallest.