2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/31816This paper studies how the generalization ability of neurons can be affected by mutual processing of different signals. This study is done on the basis of a feedforward artificial neural network. The mutual processing of signals can possibly be a good model of patterns in a set generalized by a neural network and in effect may improve generalization. In this paper it is discussed that the interference may also cause a highly random generalization. Adaptive activation functions are discussed as a way of reducing that type of generalization. A test of a feedforward neural network is performed that shows the discussed random generalization.6 pages, 3 figures. Some changes in text to make it more conciseNeural and Evolutionary ComputingI.2.6text