Solving the interconnection problem with a linked assembly of neural networks

Abstract

To reduce the complexity of training a single, large neural network, partitioning of the problem is introduced to facilitate the identification of smaller and, where possible, replicable networks which are more readily trained. A system for the linked assembly of these neural networks (ASLANN) has been developed and is used to generate the final neural system. To demonstrate this approach we discuss the application of backpropagation neural networks to the routing of an integrated circuit.