Evaluation of Urban Ecological Environment Quality Based on Neural Networks

The quality of urban ecological environment is crucial for the sustainable development of cities. This article aims to explore the evaluation method of urban ecological environment quality based on neural networks. Firstly, the specific connotation of urban ecological environment evaluation was elaborated, and the purpose and significance of urban ecological environment quality evaluation were introduced. Then, the basic principles of neural networks and their advantages in urban environmental evaluation were detailed. A neural network-based urban ecological environment quality evaluation model was proposed, which detailed the processes of data collection, preprocessing, neural network structure design, training, and testing. The model was validated through actual data, and the results showed that the model has high accuracy and reliability. Finally, the research was summarized and future development directions were discussed.