Name
Abstract | ||
|---|---|---|
In this paper, recent research efforts in the field of the application of neural networks (NNs) for the control of (semi-)autonomous underwater vehicles are reviewed. Based on a literature review the authors propose a classification of approaches to control underwater vehicles using NNs and the presented articles are categorized according to the identified categories. Based on practical results as described in the discussed literature this paper presents a qualitative assessment regarding the performance of the control strategies. Per category, or control strategy, the major advantages and disadvantages are identified and discussed. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.engappai.2004.12.004 | Eng. Appl. of AI |
Keywords | Field | DocType |
neural network,neural network control,autonomous underwater vehicle,practical result,underwater vehicle,recent research effort,qualitative assessment,major advantage,control strategy,intelligent control,ocean engineering | Intelligent control,Computer science,Artificial intelligence,Neuro control,Artificial neural network,Online adaptation,Autonomous learning,Machine learning,Underwater | Journal |
Volume | Issue | ISSN |
18 | 5 | Engineering Applications of Artificial Intelligence |
Citations | PageRank | References |
8 | 0.86 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pepijn van de Ven | 1 | 34 | 4.24 |
| Colin Flanagan | 2 | 36 | 7.75 |
| Daniel Toal | 3 | 27 | 11.05 |