Increasing the Robustness of Retrieval by Noisy Learning
V. G. Vijendran, Rahul Krishnan · IETE Journal of Research · 2001
We consider the retrieval behavior of neural network model trained by shaping the energy landscape using noisy version of the patterns. By this process, the spurious states arising during learning is systematically eliminated and the robustness of retrieval is enhanced by noisy learning. Computer simulation for perceivable correlated patterns are shown.