A Denoising Based Autoassociative Model for Robust Sensor Monitoring in Nuclear Power Plants

Figure 2

Suppose training data () concentrate near a low-dimensional manifold. Corrupted examples () obtained by applying corruption process will lie farther from the manifold. The model learns with to “project them back” onto the manifold.