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SoobieOut · 02-22-2011, 03:50 PM

After seeing last weeks crushing Jeopardy defeat of the best Human player at the byte of Watson, IBM's latest supercomputer, I wondered if the same Machine learning concept could be applied to saving fuel.

There is an excellent NOVA show on how Watson was developed, seems it lost all the time until they applied machine learning from the past 100 episodes of Jeopardy.

With this in mind, could it be possible to have a computer learn from a professional ecomodder in the realm of Engine-off coasting (EOC). Then use that learning in future chip programs?

I am not talking about just PID loop tuning, more in the thinking of pattern recognition adaptive tuning.

Has this been tried before?

02-22-2011, 03:50 PM	#1 (permalink)
SoobieOut Polymorphic Modder Join Date: Aug 2010 Location: Utah Posts: 307 2006 DaCivic Hybrid - '06 Honda Civic Hybrid 90 day: 45.16 mpg (US) Thanks: 188 Thanked 40 Times in 25 Posts	IBM's Watson applied to the Ecomodder After seeing last weeks crushing Jeopardy defeat of the best Human player at the byte of Watson, IBM's latest supercomputer, I wondered if the same Machine learning concept could be applied to saving fuel. There is an excellent NOVA show on how Watson was developed, seems it lost all the time until they applied machine learning from the past 100 episodes of Jeopardy. With this in mind, could it be possible to have a computer learn from a professional ecomodder in the realm of Engine-off coasting (EOC). Then use that learning in future chip programs? I am not talking about just PID loop tuning, more in the thinking of pattern recognition adaptive tuning. Has this been tried before?