On Interference of Signals and Generalization in Feedforward Neural Networks
<|reference_start|>On Interference of Signals and Generalization in Feedforward Neural Networks: 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.<|reference_end|>
@article{rataj2003on,
    title={On Interference of Signals and Generalization in Feedforward Neural
  Networks},
    author={Artur Rataj},
    journal={arXiv preprint arXiv:cs/0310009},
    year={2003},
    number={IITiS-2002-08-1-1.04},
    archivePrefix={arXiv},
    eprint={cs/0310009},
    primaryClass={cs.NE}
}