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Combining Immune Algorithms for an Intelligent Rolling Stock Safety System

By Andrejs Mors-Jaroslavcevs and Anatolijs Ļevčenkovs


Objective of this paper is to design an intelligent rolling stock safety system which could provide a way for railway transport to avoid dangerous situations, examine the algorithms used in artificial immune systems and ways how they can be used together and provide data for each one other. The authors review analysis methods used to detect, predict and control anomalous rolling stock travel conditions

Topics: immune algorithms, classification, railway transport
Publisher: RTU
OAI identifier: oai:ortus.rtu.lv:11386
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