Trainable neural network having short-term memory for altering input layer topology during training

摘要

A neutral net in which new nodes and connections are created in both input and intermediate layers during training, which is by punishment, reward and teaching. This can use a small increase in memory requirement to preclude the necessity for long training times applicable problems in speech and natural language processing, video recognition and simple logic functions.