A simple neural network scheduler for real-time machine task scheduling

Conference · Tue Jan 01 00:00:00 EST 1991

OSTI ID:5748589

Gritzo, R E

The recent development of a new generation of automated radionuclide assay equipment in our facility requires embedded software at each machine for the scheduling of tasks. The execution time requirements of real-time embedded software limit the complexity of the scheduler design. By representing the scheduling problem properly, a simple backpropagation neural network performs the scheduling function within the imposed requirements. Operational tests have demonstrated that the neural network scheduler has met all development goals and is superior to the previous approaches. 3 refs., 1 tab.

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE; USDOE, Washington, DC (USA)
• DOE Contract Number: W-7405-ENG-36
• OSTI ID: 5748589
• Report Number(s): LA-UR-91-300; CONF-910779-1; ON: DE91007474
• Resource Relation: Conference: 1991 international joint conference on neural networks (IJCNN), Seattle, WA (USA), 8-12 Jul 1991
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
38 RADIATION CHEMISTRY, RADIOCHEMISTRY, AND NUCLEAR CHEMISTRY
COMPUTERIZED CONTROL SYSTEMS
TASK SCHEDULING
NEURAL NETWORKS
RADIOISOTOPES
SAMPLING
AUTOMATION
COMPUTER ARCHITECTURE
MICROPROCESSORS
REAL TIME SYSTEMS
TESTING
COMPUTERS
CONTROL SYSTEMS
DATA PROCESSING
ELECTRONIC CIRCUITS
ISOTOPES
MICROELECTRONIC CIRCUITS
PROCESSING
990200* - Mathematics & Computers
400700 - Radiochemistry & Nuclear Chemistry