The neural network self-healing process by using a reconstructed sample space

The inherent ability of neural networks to recover information when neurons in the network are damaged is discussed. This self-healing property is shown to exist in networks used for pattern recognition. The self-organizing feature map (SOFM) is the network used to study this topic. The SOFM has an efficient data compression technique that allows signal processing techniques to be used in recovering lost information from destroyed nodes.<>