Research On Children's Health Assessment Model Based On Behavior Characteristics

Early childhood education is the cornerstone of children's education,and children's healthy growth is the ardent hope of family and society.At present,the development of infant education in China is developing rapidly.The traditional way of preschool education has been unable to meet the expectations of parents.The concept of intelligent kindergarten arises at the historic moment.How to improve the quality of the kindergarten education and how to make the children develop better,these need to make a thorough understanding of the children themselves.However,the young teachers are limited and the traditional evaluation method can not meet the development of the kindergarten.Therefore,it is very important to design a more scientific and reasonable model of infant health assessment.Based on the background of a kindergarten in Shenyang,we set up a child health assessment model based on behavioral characteristics to create a smart kindergarten.At present,the evaluation methods both at home and abroad are still in the traditional stage.By optimizing the traditional evaluation methods and combining the innovative evaluation methods,this paper puts forward a AHP-BPNN based assessment model of children's health development and a health assessment model based on machine learning.Finally,the comprehensive analysis of the infant protection experts gives the weight gain respectively.To the final evaluation model.Through reading lots of literature,we have a deep understanding of children's health assessment and emerging assessment methods.For the traditional evaluation method,this paper combines the analytic hierarchy process with the BP neural network,and iterate the update weight through the feedback neural network,which makes the weight allocation more reasonable.For the new model of health assessment based on machine learning,the general idea is to carry out the feature data by some equipment,and then preprocess the feature data,and the preprocessing part includes data smoothing,data normalization and feature reduction.After that,the data row clustering analysis is used in this paper.Density clustering method is adopted,and then multi classification algorithm based on support vector machine is applied to classify.Finally,we get the final evaluation model by analyzing the clustering results.The assessment model is now used in a kindergarten in Shenyang,reducing the pressure for the care workers and giving them more attention to the child's personal,not a complex transaction.This assessment model has strong applicability and can be popularized in other kindergartens.