Biological immune system by evolutionary adaptive learning ofneural networks

摘要

Artificial immune systems have been identified as artificiallyintelligent systems. Some algorithms have been developed on thisantigen-antibody response. Here, a model is presented wherein thebehavior of each immune cell is specified. We improve this model usingknowledge of the major histocompatibility complex. For this purpose anevolutionary neural network was used. Qualitative analysis of theresults offers verification of the effectiveness of this approach tosimulating an immune system