Ship intelligent autopilot in narrow water
Zhuo, Y. and Hearn, G.E. (2008) Ship intelligent autopilot in narrow water. In, 27th Annual Chinese Control Conference (CCC'08), Kunming, China, 16 - 18 Jul 2008. Kunming, China, 6pp.
- Publishers print
To provide a novel intelligent anti-collision decision-making support system it is necessary to facilitate a precise anti-collision information capability. In the reported research an innovative self-learning neurofuzzy network is proposed and applied to learn new information adaptively without forgetting old knowledge. To handle imprecise information a fuzzy set interpretation facility is incorporated into the network design. Additionally neural network architecture is used to train the parameters of the Fuzzy Inference System (FIS). The learning process is based on a hybrid learning algorithm and off-line training data. The training data is obtained from trial manoeuvres. This support system has been developed to help ship operators make a precise anti-collision decision, whilst simultaneously reducing the burden of bridge data processing.
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords:||intelligent anti-collision, decision-making, trial manoeuvre, self-learning system, neurofuzzy|
|Subjects:||V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering|
|Divisions:||University Structure - Pre August 2011 > School of Engineering Sciences
University Structure - Pre August 2011 > School of Engineering Sciences > Fluid-Structure Interactions
|Date Deposited:||04 Aug 2008|
|Last Modified:||08 Jun 2012 12:24|
|Contributors:||Zhuo, Y. (Author)
Hearn, G.E. (Author)
|Date:||16 July 2008|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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