Neural net architectures for scope check and monitoring

Abstract

The application of two kinds of autoassociative NN's is discussed. The applications concern observation of the marine environment. The first kind of autoassociative NN has physical interpretable neurons in the bottleneck layer and is used for scope check in the retrieval of concentrations of water constituents. The second kind is a standard autoassociative NN which we propose to use in the monitoring of the environment. An example of such a usage is given.