Impact of Participatory Community Planning on Publicity in Public Space Renewal Based on Machine Learning Algorithm Based on Child-friendly Concept

In the existing community planning and implementation, design concept often does not take into account needs of children, but only blindly pursues standardization modernization. This would make entire structure unfriendly to children. Factors such as insufficient public play areas, messy traffic network design, lack recreational facilities suitable for children limit children’s fun in community’s spaces. Children’s happy growth be greatly hindered. order solve above problems, this paper has put forward child-friendly applied it planning, so carry out scientific research on original participatory model based support vector machine technology under learning algorithm. And improved gray wolf optimization algorithm is combined with shortcomings technology’s accuracy other performance, which good enough. The final played an extremely important role testing impact publicity renewal experimental results have shown that highest can reach 97.88% Kappa coefficient 96.83%, improves feasibility space publicity.