A study on the construction of an auxiliary decision-making system for urban landscape design based on artificial intelligence

Intelligent transformation of urban landscape design has become a key direction to improve design efficiency and quality. Based on deep learning technology, an urban landscape design assisted decision-making system is constructed, which innovatively puts forward the landscape element identification algorithm and multi-dimensional evaluation model, and designs the scheme recommendation algorithm based on deep reinforcement learning and decision-making algorithm of multi-objective optimisation. Through the system practice verification, the method significantly improves the intelligent level of landscape design and decision-making scientificity, and provides a new technical path for the construction of smart city.