Add to ORKGAbstract: In this paper a parallel ANN(artificial neural networks) for the automatic berthing will be discussed. This controller has a separated hidden layer each control an engine and a rudder respectively. Using this controller simulations were carried out where the initial conditions such as ship’s positions and heading angle are different from teaching data. Finally comparison of separated hidden layer and united hidden layer will be described. Copyright○c 2001 IFA
Ship berthing operations in restricted waters such as ports requires the accurate use of onboard-ves...
Dynamic Positioning (DP) of ships is a control mode that seeks to maintain a specific position (stat...
Previous studies on Artificial Neural Network (ANN)-based automatic berthing showed considerable inc...
Ship berthing is a complicated manoeuvring process that demands precise control of the speed and cou...
The Artificial Neural Network (ANN) model has been known as one of the most effective theories for a...
In this paper, consistently trained Artificial Neural Network controller for automatic ship berthing...
Abstract: Ship berthing has always considered as a multiple input multiple output phenomenon. And su...
Abstract—Manoeuvring ship during berthing has always required vast experience, skill and knowledge t...
Abstract: Experiment results are often worthy and would be a great topic of discussion. Since many y...
Automatic ship berthing control is considered as one of the most difficult problems in the field of ...
ABSTRACTThe recent researches on the automatic berthing control problems have used various kinds of ...
The paper describes the application of artificial neural networks to problems of ship steering contr...
RRS (Rudder Roll Stabilization) of Ships is a difficult problem because of its associated non-linear...
Maritime simulation systems provide opportunities to acquire technical, procedural, and operational ...
One problem of ship steering systems is that the dynamics of the vessel are dependent on the forward...
Ship berthing operations in restricted waters such as ports requires the accurate use of onboard-ves...
Dynamic Positioning (DP) of ships is a control mode that seeks to maintain a specific position (stat...
Previous studies on Artificial Neural Network (ANN)-based automatic berthing showed considerable inc...
Ship berthing is a complicated manoeuvring process that demands precise control of the speed and cou...
The Artificial Neural Network (ANN) model has been known as one of the most effective theories for a...
In this paper, consistently trained Artificial Neural Network controller for automatic ship berthing...
Abstract: Ship berthing has always considered as a multiple input multiple output phenomenon. And su...
Abstract—Manoeuvring ship during berthing has always required vast experience, skill and knowledge t...
Abstract: Experiment results are often worthy and would be a great topic of discussion. Since many y...
Automatic ship berthing control is considered as one of the most difficult problems in the field of ...
ABSTRACTThe recent researches on the automatic berthing control problems have used various kinds of ...
The paper describes the application of artificial neural networks to problems of ship steering contr...
RRS (Rudder Roll Stabilization) of Ships is a difficult problem because of its associated non-linear...
Maritime simulation systems provide opportunities to acquire technical, procedural, and operational ...
One problem of ship steering systems is that the dynamics of the vessel are dependent on the forward...
Ship berthing operations in restricted waters such as ports requires the accurate use of onboard-ves...
Dynamic Positioning (DP) of ships is a control mode that seeks to maintain a specific position (stat...
Previous studies on Artificial Neural Network (ANN)-based automatic berthing showed considerable inc...