Face recognition using immune network based on principal component analysis
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
PCA based immune networks for human face recognition
Applied Soft Computing
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The complexity of the immune system is sometimes compared to that of the brain.Both systems can be viewed as composed of networks of elements, which endow them with interesting features for the development of compuational tools with potentialities for problem solving.This paper has two main goals.First, to introduce the general features of immune networks to the artificial neural network (ANN) community.Second, it is attempt to present a theoretical comparison between ANN and a standard neural network.The comparison is highly simplified and general, taking into account how each network is structured, their basic components and mechanisms of adaptation, and information processing capabilities.