Abstract
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.
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Oeda, S., Ichimura, T., Yamashita, T., Yoshida, K. (2003). A Proposal of Immune Multi-agent Neural Networks and Its Application to Medical Diagnostic System for Hepatobiliary Disorders. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_72
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DOI: https://doi.org/10.1007/978-3-540-45226-3_72
Publisher Name: Springer, Berlin, Heidelberg
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