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A Multiple-Valued Immune Network and Its Applications
Zheng TANG Takayuki YAMAGUCHI Koichi TASHIMA Okihiko ISHIZUKA Koichi TANNO
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1999/06/25
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Neural Networks
multiple-valued, immune network, immune response, pattern recognition,
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This paper describes a new model of multiple-valued immune network based on biological immune response network. The model of multiple-valued immune network is formulated based on the analogy with the interaction between B cells and T cells in immune system. The model has a property that resembles immune response quite well. The immunity of the network is simulated and makes several experimentally testable predictions. Simulation results are given to a letter recognition application of the network and compared with binary ones. The simulations show that, beside the advantages of less categories, improved memory pattern and good memory capacity, the multiple-valued immune network produces a stronger noise immunity than binary one.