Ocean Engineering · 2022 · 128 citations · 86 references
EngineeringMarine EngineeringOcean EngineeringCoastal EngineeringNaval ArchitectureOcean ModelingNeural NetworksNumerical Ocean SimulationKnowledge Gaps
Artificial Neural Networks (ANNs) were firstly used to model ocean engineering problems in the decade of 1990s. Since then, this soft-modelling technique has proved several advantages against traditional approaches. In this article, the application of ANNs in ocean and maritime engineering from its beginnings until today is reviewed. After reviewing more than 90 studies, some general rules to apply in ANNs in ocean engineering are concluded, the most common and advantageous methods are summed up and research gaps in the application of ANNs are identified.
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Function minimization by conjugate gradients
R. Fletcher · The Computer Journal · 1964 · 4.9K citations · Full text
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A scaled conjugate gradient algorithm for fast supervised learning
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