基于抗体链的一维混沌动力系统联想记忆模型

2015 International Joint Conference on Neural Networks (IJCNN) Pub Date : 2015-07-12 DOI:10.1109/IJCNN.2015.7280647

C. Ou

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引用次数: 1

摘要

抗原的免疫记忆是具有抗体动力学的循环独特型免疫网络的极限行为。将网络结构与动力系统相结合，研究免疫记忆机制。此外，可以通过抗体链亲和指数确定的网络动力学来探索联想记忆。亲和指数较大的抗体链产生联想免疫记忆。

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Model of associative memory based on antibody chain with one-dimensional chaotic dynamical system

Immune memory of antigens are formed as limit behavior of cyclic idiotypic immune networks equipped with antibody dynamics. Immune memory mechanism is studied by combining network structure and dynamical systems. Moreover, associative memory can be explored by network dynamics determined by affinity index of antibody chain. Antibody chains with larger affinity indexes generate associative immune memory.

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2015 International Joint Conference on Neural Networks (IJCNN)

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