A Proposal of Immune Multi-agent Neural Networks and Its Application to Medical Diagnostic System for Hepatobiliary Disorders

摘要

Both immune system and neural network are complex biological systems. These systems are capable of learning, memory, and pattern recognition. Many classification algorithms have been developed in a field of the information processing. In this paper, we propose the immune multi agent neural networks where each immune agent employs different neural networks to handle a subset of training cases. This proposed method is limited to the behaviors of the macrophage, B-cell, and T-cell to realize a good classification capability. To verify the validity and effectiveness of the proposed method, we developed a diagnostic system for hepatobiliary disorders.