An unsupervised neural network with a memory replacement effect
C.K. Lee, C. H. Chung · 2002
Studies the memory replacement effect of a unsupervised learning algorithm for a neural network. The unsupervised learning algorithm on which we base this effect is called 'learning by experience' (LBE). We modify the network to incorporate a replacement algorithm to increase the learning capability of the network when it faces a memory catastrophe. Simulations to illustrate the feasibility of this effect are included.>