Leveraging Bridge and Environmental Features to Analyze Coating Conditions of Steel Bridges in Florida Using Neural Network Models
The safety, integrity, and longevity of steel bridge elements are affected by various
environmental factors, such as moisture, atmospheric pollutants, and temperature. Protective …
environmental factors, such as moisture, atmospheric pollutants, and temperature. Protective …
A Multilayer Perceptron-Based Neural Network Model for Predicting Steel Bridge Coating Conditions by Integrating Bridge and Environmental Features
The service environments (eg, climatic environments, water environments) of steel bridges
have severe impacts on the performance of their protective coatings, thus affecting the …
have severe impacts on the performance of their protective coatings, thus affecting the …