Name
Title | ||
|---|---|---|
Application of whole-implicit algorithm and virtual neural lattice in pelagic longline modeling. |
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. © 2012 IEEE. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/FSKD.2012.6234063 | FSKD |
Keywords | Field | DocType |
lattice structure,longline,modeling,neural network,simulation,whole-implicit algorithm,sea water,programming model,simulation model,programming,lattices,virtual reality,computational modeling,modeling and simulation,aquaculture,mathematical model,equilibrium state,seawater,gears | Pelagic zone,Virtual reality,Lattice (order),Computer science,Algorithm,Artificial neural network,R language,Thermodynamic equilibrium | Conference |
Volume | Issue | Citations |
null | null | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhang X | 1 | 250 | 34.16 |
| Daomei Cao | 2 | 0 | 0.34 |
| Liming Song | 3 | 14 | 3.08 |
| Xiaorong Zou | 4 | 0 | 0.34 |
| Xinjun Chen | 5 | 0 | 1.01 |
| Liuxiong Xu | 6 | 0 | 0.34 |
| Min Zhang | 7 | 0 | 0.34 |
| Jian Zhang | 8 | 0 | 0.34 |
| Yingqi Zhou | 9 | 0 | 0.68 |