Greg Anderson         Senior Electrical Engineer         EIS Department         Applied Physics Laboratory         University of Washington	Scientists are assessing the Neural Net Acoustic Model Emulator (NNAME) that APL-UW developed under IUSW-21. We are looking at propagation loss and reverberation prediction performance using IUSW-21 sea test data. This work includes the development of a bottom type (such as composition) database from measurements and survey data in an appropriate sea test area. These results will support other environmentally adaptive techniques that APL-UW is developing in other projects (e.g., the Application of Computationally Intelligent Techniques (ACIT) and environmentally adaptive sonar), as well as environmental data fusion activities. We are also evaluating the performance of the neural networks for estimating high-frequency underwater propagation loss and reverberation.