摘要
Abstract
By elaborating on the basic concepts,characteristics,and importance of the seepage field in hydropow-er engineering,analyzing on the core principles of AI technology and its applicability in the field of hydropow-er,and explorating the data collection and preprocessing,model construction and training,model validation,and evaluation methods of AI in the practice of seepage field in hydropower engineering.The research results found that AI can efficiently process seepage monitoring data in hydropower engineering,explore the changes in seep-age field,and effectively capture the characteristics of seepage data by selecting appropriate models such as BP neural network,convolutional neural network,recurrent neural network,etc.,improving the accuracy of seep-age field simulation and prediction.The application of AI in the seepage field of hydropower engineering has a-chieved significant results,improving the scientific and reliable research,and providing technical support for the safe operation and scientific management of engineering;Simultaneously improving engineering safety and oper-ational efficiency,promoting technological progress in the hydropower industry.关键词
人工智能/水电工程/渗流场域/应用Key words
artificial intelligence/hydroelectric engineering/seepage field/application分类
信息技术与安全科学
