A Functional Comparison of Receptive Field Structure in TAM Network

Abstract

TAM network is a biologically-motivated neural network with receptive fields of Gabor function. However, it's not good performance for rotating visual images since the receptive field's layer is a mono-type. In this paper, we formulate four types of multilayer structures with extensive receptive fields, and discuss the performance using some examples of character recognition.