´╗┐ CISUC - Classification of Seafloor Habitats using Genetic Programming
CISUC

Classification of Seafloor Habitats using Genetic Programming

Authors

Abstract

We use genetic programming for the classification of different seafloor habitats, based on the acoustic backscatter data from an echo sounder. By developing a different fitness function and dividing the multiple-class problem into several two-class problems, we were able to improve the results presented in a previously published work, providing a better discrimination between most of the seafloor types used in this study. We discuss the quality of these results and provide ideas to further improve the classification performance.

Subject

Genetic Programming

Conference

Late Breaking Papers at Genetic and Evolutionary Computation Conference (GECCO-2005), June 2005

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Cited by

Year 2010 : 1 citations

 Pedro G. Espejo, Sebasti├ín Ventura, and Francisco Herrera (2010). A Survey on the Application of Genetic Programming to Classification. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS"PART C: APPLICATIONS AND REVIEWS, VOL. 40, NO. 2, MARCH 2010.

Year 2009 : 2 citations

 Griffin JM, Chen X (2009). Multiple classification of the acoustic emission signals extracted during burn and chatter anomalies using genetic programming. International journal of advanced manufacturing technology, 45(11-12): 1152-1168.

 Imada J (2009). Evolutionary Synthesis of Stochastic Gene Network Models using Feature-based Search Spaces. Technical Report # CS-09-10, Department of Computer Science, Brock University.

Year 2008 : 2 citations

 Imada JH, Ross BJ (2008). Using feature-based fitness evaluation in symbolic regression with added noise. In GECCO 2008 Late Breaking Papers, 2153"2158.

 Kruss A, Blondel P, Tegowski J, Wiktor J, Tatarek A (2008). Estimation of macrophytes using single-beam and
multibeam echosounding for environmental monitoring
of arctic fjords (Kongsfjord, West Svalbard Island). In Proc of Acoustics'08 Paris, 1743"1748.

Year 2007 : 1 citations

 Holmes KW, Radford B, Van Niel KP (2007). Marine versus terrestrial predictive mapping: Geographic modelling constraints of working underwater. In Proc of the 9th International Conference on Geocomputation 2007.