.... optimization problem stiffener evolutionary algorithm design space machine learning thickness composite material yacht composite structure design process safety factor optimisation artificial intelligence failure criterion laminate configuration zenkert & battley population size pa mass...

... cluster. A machine learning algorithm using Kernel ridge multivariate regression was trained to produce a surrogate model of the wingsail giving accurate predictions within 1% of the LL results. Using the surrogate model, performance predictions could be obtained in ~0.001 seconds showcasing the large...

... actuator tack dagger board crew movement simulation turn rate maneuver procedure module rake optimum tack optimization problem artificial intelligence machine learning overshoot angle rudder angle controller baseline tack stability twa procedure dvpp maneuver 2019. The Society...

... are competitive with commercial software such as MaxSea or Adrena. stress function evolutionary algorithm sailboat algorithm operator waypoint routing machine learning boat weather forecast tradeoff optimization problem implementation objective mutation isochrone algorithm optimization...

... optimization problem variance machine learning upstream oil & gas reservoir simulation artificial intelligence merit function sail system prediction iteration turbulence model optimization procedure optimization convergence noise numerical model optima experiment algorithm...

...-domain dynamic velocity prediction program (DVPP). The results are demonstrated using a single handed Laser and demonstrate an acceptable level of accuracy. centreline body segment loading artificial intelligence yacht sailor machine learning capture system spenkuch turnock performance...

... the expected time needed to complete the race. risk management node optimization problem optimal strategy opponent knowledge machine learning neural network correspond computation upwind leg wind forecast probability sailing match race grid artificial intelligence tack yacht skipper...

... and perceptual skills, the correct balance of immersion and interaction is crucial to an effective simulation. This paper will describe why the VSail-Trainer might just have this balance right. health & medicine water sailing sailing simulator machine learning immersion simulator artificial...

... shape at full scale and model agrees well for given trim settings of the spinnaker, while trim settings for driving force optima where quite different. artificial intelligence yacht full scale machine learning apparent wind angle flying shape investigation university wind tunnel flying...

... resolution computational framework aspect ratio performance sailing yacht solver mesh & al configuration machine learning reservoir simulation objective function convergence camber equation mainsail THE 20th CHESAPEAKE SAILING YACHT SYMPOSIUM ANNAPOLIS, MARYLAND, MARCH 2011...

... s Manual , httpraphael.mit.edu/xfoil/. 64 Coe. = 20 = 30 a0 -4.3002E-02 -6.3416E-02 a1 -3.9048E-02 -5.0500E-02 a2 -3.2745E-02 -4.5194E-02 Table 3: Regression coef cients for the equation of the wetted surface variation with respect to the heeling angle (1). 65 66 machine learning resistance...

... variation bulb length rso methodology machine learning total resistance hochkirch sailboat case study artificial intelligence resistance design space section design variation response surface baseline design design parameter THE 18th CHESAPEAKE SAILING YACHT SYMPOSIUM ANNAPOLIS, MARYLAND...

... yacht history canoe body artificial intelligence simulation prediction geometry machine learning displacement optimization coefficient objective function autopilot proceedings symposium wind speed equation true wind angle maneuver boat THE 18th CHESAPEAKE SAILING YACHT SYMPOSIUM...

.... machine learning knot variation mean value consequence displacement variance hull geometry statistical indicator correlation regression equation coefficient artificial intelligence resistance residuary resistance independent variable systematic series indicator dataset correlation...

... model of tacking motion of a sailing yacht was proposed by the authors in the previous paper. (Masuyama et al., 1993. This paper will be 117 machine learning mathematical model procedure rudder angle tacking simulation application neural network technique artificial intelligence j-th neuron...