Proceedings, Volumes 1-2IEEE, 1996 - Artificial intelligence |
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Page 130
... depends on the status selec- tion rules . However , it is usually difficult to acquire useful knowledge from human experts . We propose the iterative learning method of a status selection rule using inductive learning . Plan- ning ...
... depends on the status selec- tion rules . However , it is usually difficult to acquire useful knowledge from human experts . We propose the iterative learning method of a status selection rule using inductive learning . Plan- ning ...
Page 132
... depends on the SS rules . It is found that inductive learning is one of the powerful methods for acquiring the SS rules automatically [ 7 ] . Argi Argn Argn + 1 Argen Arg2n + 1 Arg3n Class : ( Argi , ... , Arg3n , Class ) Status ...
... depends on the SS rules . It is found that inductive learning is one of the powerful methods for acquiring the SS rules automatically [ 7 ] . Argi Argn Argn + 1 Argen Arg2n + 1 Arg3n Class : ( Argi , ... , Arg3n , Class ) Status ...
Page 248
... depends on the job's desired operating characteristics . These shocks cumulatively aggravate the deterioration process and hasten machine failure . The machine is inspected at predetermined times T1 , T2 , ... If failure is detected ...
... depends on the job's desired operating characteristics . These shocks cumulatively aggravate the deterioration process and hasten machine failure . The machine is inspected at predetermined times T1 , T2 , ... If failure is detected ...
Contents
Intelligent HumanMachine Systems in a Modern Communication Infrastructure | 1 |
SESSION TU4AScheduling | 16 |
Rescheduling Method based on Distributed Cooperative Problem Solving Model | 35 |
Copyright | |
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agents algorithm application approach assignment Automated Manufacturing Systems Automation behavior buffer component Computer configuration considered constraints control system cost data link layer deadlines deadlock defined device under test distributed due dates dynamic environment evaluation evolutionary algorithm example execution feature fieldbus Figure flexible frequency function Genetic Algorithm global heuristic holarchy holons IEEE implementation input integration intelligent interaction learning logical controller machine macroaction manipulator Manufacturing Systems messages method Mimetism model checking monitoring nodes object optimal output paper parameters performance Petri net Petri nets phase PID control placement planning plant priority inversion problem processor Profibus proposed protocol real-time resource robot robot cell scheduling semaphore sensor sequence server shown signal simulation solution solve specific stage station structure supervisor task techniques telerobotic Theorem tion token torque transition vector vibration