A neural network structure evolution algorithm based on e, m Projections and model selection criterion

Abstract

According to biological and neurophysiologic research, there is a bloom bursting of synapses in brain's physiological growing process of new-bom infants. These jillion nerve connections will be pruned and the dendrites of neurons can change their conformation in infants' proceeding cognition process. Simulating this pruning process, a new neural network structure evolution algorithm is proposed based on e and m projections in information geometry and model selection criterion. This structure evolution process is formulated in iterative e, m projections and stopped by using model selection criterion. Experimental results prove the validation of the algorithm. © Springer-Verlag Berlin Heidelberg 2006.