On Interference of Signals and Generalization in Feedforward Neural Networks

Details On Interference of Signals and Generalization in Feedforward Neural Networks On Interference of Signals and Generalization in Feedforward Neural Networks

2003-10-06

arxiv.org/abs/cs/0310009v3

Computer Science

Neural and Evolutionary Computing

6 pages, 3 figures. Some changes in text to make it more concise

Scientific paper

This 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.

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