Multi-agent immune recognition of water mine model

Abstract

It is necessary for mine countermeasure systems to recognise the model of a water mine before destroying because the destroying measures to be taken must be determined according to mine model. In this paper, an immune neural network (INN) along with water mine model recognition system based on multi-agent system is proposed. A modified clonal selection algorithm for constructing such an INN is presented based on clonal selection principle. The INN is a two-layer Boolean network whose number of outputs is asion, and the affinity threshold also can control the capability of noise tolerance.

Keywords

multi-agent system / immune neural network / clonal selection / pattern recognition / water mine model

References

[1] Dobeck G J, Hyland J C, Smedley L. Automated detection/classification of sea mines in sonar imagery [J]. Naval Research Reviews, 1997, 49(3): 9-20

[2] ARIDGIDES T, FERNANDEZ M, DOBECK G J. Improved processing string fusion approach investigation for automated sea mine classification in shallow water [A]. Proceedings of Detection and Remediation Technologies for Mines and Minelike Targets IX [C], Orlando, USA: 2004, 315–326.

[3] CIANG C M, HUANG J. Computer aided detection/ computer aided classification and data fusion algorithms for automated detection and classification of underwater mine [A]. Proceedings of MTS/IEEE Oceans Conference and Exhibition [C]. Providence, USA, 2000:277–284.

[4] CIANY C, ZURAWSKI W. Improvements in computer aided detection/ computer aided classification (CAD/CAC) of bottom mines through post analysis of a diverse set of very shallow water (VSW) environmental test data [A]. Procceedings of Detection and Remediation Technologies for Mines and Minelike Targets IX [C]. Orlando, USA:2004,327–335.

[5] Reed S, Petillot Y, Bell J. An automatic approach to the detection and extraction of mine features in sidescan sonar [J]. IEEE Journal of Oceanic Engineering, 2003, 28(1): 90-105

[6] Burnet F M. The Clonal Selection Theory of Acquired Immunity [M]. 1959, Cambridge: Cambridge University Press

[7] Segel L, Perelson A S. Computations in shape space: A new approach to immune network theory [A]. Theoretical Immunology (Part 2) [C]. 1988, Redwood City: Addison-Wesley, 321-343