Preliminary ship design using neural networks
Artificial Neural Networks, by their superior pattern-recognition ability are well-suited for intelligent tools for design and development of complex and multi disciplinary structures such as ships. Preliminary design of a Container ship is carried out using feedforward type of Backpropagation (BP)...
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| Format: | Theses and Dissertations |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/10356/5829 |
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| Institution: | Nanyang Technological University |
| Summary: | Artificial Neural Networks, by their superior pattern-recognition ability are well-suited for intelligent tools for design and development of complex and multi disciplinary structures such as ships. Preliminary design of a Container ship is carried out using feedforward type of Backpropagation (BP) network. The main focus of the study was to develop a database of successful existing container ships in operation and then to formulate a basic design model. |
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