Abstract
The immune system is investigated as a parallel learning machine. The model is described using the perceptron and is analysed using the techniques of statistical mechanics. The relationship between gene recombination and capacity of learning antigens is considered. Although it is known that the immune system increases antibody diversity through gene recombination, our analysis shows that the total number of antigens learnt by the immune system is not affected by gene recombination. However, we find that gene recombination is effective in the adaptability of learning antigens. Our analysis is in good agreement with results of numerical simulations.
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