A dynamic approach to artificial immune systems utilizing neural networks

The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed approach may be used as a part in other immune algorithms, or can possibly be used to detect anomalies in time series data. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search--heuristic methods; I.6 [Simulation and Modeling]: Miscellaneous General Terms Algorithms, Theory Keywords artificial immune system, artificial intelligence, neural networks, online algorithms, process monitoring, self-organizing map

• Type: Conference
• Year: 2006
• Where: GECCO
• Authors: Stefan Schadwinkel, Werner Dilger
• Keywords: Artificial Immune System, Artificial Intelligence, GECCO 2006, Optimization, Self-Organizing Map