Black-box modeling of ship manoeuvring motion based on feed-forward neural network with Chebyshev orthogonal basis function

Author:

Zhang Xin-Guang,Zou Zao-Jian

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,Ocean Engineering,Oceanography

Reference15 articles.

1. Hess D, Faller W (2000) Simulation of ship manoeuvres using recursive neural networks. In: 23rd Symposium on Naval Hydrodynamics. Val de Reuil, France, September 2000

2. Hess D, Faller W (2002) Using recursive neural networks for blind predictions of submarine manoeuvres, In: 24th Symposium on Naval Hydrodynamics. Fukuoka, Japan, July 2002

3. Hess D, Faller W, Lee J et al (2006) Ship maneuvering simulation in wind and waves: a nonlinear time-domain approach using recursive neural networks. In: 26th Symposium on Naval Hydrodynamics. Rome, Italy, September 2006

4. Hess D, Faller W, Lee J (2008) Real-time nonlinear simulation of maneuvers for US navy combatant DTMB 5415. In: Workshop on verification and validation of ship manoeuvring simulation methods, SIMMAN 2008, vol 1, E15-E21, Copenhagen, Denmark, April 2008

5. Hess D, Faller W, Minnick L et al (2007) Maneuvering simulation of Sea Fighter using a fast nonlinear time domain technique. In: Ninth international conference on numerical ship hydrodynamics,Ann Arbor, Michigan, USA, August 2007

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