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Keywords: machine learning
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Proceedings Papers

Paper presented at the Ninth ISOPE Ocean Mining Symposium, June 19–24, 2011
Paper Number: ISOPE-M-11-019
... targeting seafloor massive sulfide deposits (Scott, 2007). 1000m deep-sea poly-metallic nodule deep-sea mining system is indicated in Fig.1 (Liu, 2003). dynamic vibration absorber upstream oil & gas machine learning heave platform artificial intelligence mining ship active heave...
Proceedings Papers

Paper presented at the Sixth ISOPE Ocean Mining Symposium, October 9–13, 2005
Paper Number: ISOPE-M-05-032
... metals & mining strength artificial intelligence sediment shear strength precision machine learning velocity control deep-sea vehicle fuzzy identifier wang referenced trail ABSTRACT: A deep-sea vehicle, which possesses large delay and non-linear stepped performance, travels...
Proceedings Papers

Paper presented at the Sixth ISOPE Ocean Mining Symposium, October 9–13, 2005
Paper Number: ISOPE-M-05-003
... wind-wave component measurement equipment appearance ratio takumi wave height sagami bay spectrum ocean nutrient enhancer machine learning artificial intelligence programming method wave condition japan estimation method wave spectrum 2005. The International Society of Offshore...
Proceedings Papers

Paper presented at the Sixth ISOPE Ocean Mining Symposium, October 9–13, 2005
Paper Number: ISOPE-M-05-035
... to the phenomena of objective world that is not smooth, continuous but not differential, fragmental. distribution law cobalt-rich crust simulated material chung artificial intelligence machine learning granularity metals & mining graininess cobalt crust yamazaki granularity distribution...
Proceedings Papers

Paper presented at the Fifth ISOPE Ocean Mining Symposium, September 15–19, 2003
Paper Number: ISOPE-M-03-001
... mining sym buffer isope machine learning offshore upstream oil & gas experiment data mining omco lockheed diameter self-propelled miner mining system metals & mining operation pacific ocean seafloor pipe miner deep-ocean mining technology artificial intelligence chung...
Proceedings Papers

Paper presented at the Fifth ISOPE Ocean Mining Symposium, September 15–19, 2003
Paper Number: ISOPE-M-03-024
... dynamics of the tracked vehicle. The dynamic analysis that is very time consuming work is executed for a tracked vehicle model and the performances required in the concept design phase are computed. experiment soft soil correlation matrix machine learning entropy design metamodel computer...
Proceedings Papers

Paper presented at the Third ISOPE Ocean Mining Symposium, November 8–10, 1999
Paper Number: ISOPE-M-99-010
... on the seafloor with some intelligent control system, and track-keep" the prescribed target track. convergence condition machine learning vector chung sltc feedforward control force friction force miner artificial intelligence target track operation control force seafloor hydrodynamic drag...

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