Application of whole-implicit algorithm and virtual neural lattice in pelagic longline modeling

Author

Zhang, Xinfeng ; Cao, Daomei ; Song, Liming ; Zou, Xiaorong ; Chen, Xinjun ; Xu, Liuxiong ; Min Zhang ; Jian Zhang ; Zhou, Yingqi

Author_Institution

Coll. of Marine Sci., Shanghai Ocean Univ., Shanghai, China

fYear

2012

fDate

29-31 May 2012

Firstpage

2603

Lastpage

2606

Abstract

This study developed a whole-implicit algorithm and virtual neural lattice to model and simulate the dynamics of pelagic longline gear. The programming, model calculation and behavior simulation of longline dynamics were implemented in R language. Equilibrium state and stable solution of the models were reached. The hooks were more stable in the deepest water layer than that in the midwater layer. It indicated that the whole-implicit method and virtual neural lattice were high efficient and accurate in solving the complicated engineering equations of longline gear, also in the presentation of the motion of longline in sea water.

Keywords

aquaculture; mechanical engineering computing; oceanographic equipment; seawater; virtual reality; R language; behavior simulation; deepest water layer; engineering equations; equilibrium state; hooks; longline dynamics programming; model calculation; pelagic longline gear dynamics; pelagic longline modeling; sea water; stable solution; virtual neural lattice; whole-implicit algorithm application; Computational modeling; Gears; Heuristic algorithms; Lattices; Mathematical model; Oceans; Programming; lattice structure; longline; modeling; neural network; simulation; whole-implicit algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Conference_Location

Sichuan

Print_ISBN

978-1-4673-0025-4

Type

conf

DOI

10.1109/FSKD.2012.6234063

Filename

6234063