Title :
Hybrid intelligent system for performance analysis and optimization
Author :
Djoudi, Lamia ; Khachidze, Vasil ; Jalby, William
Author_Institution :
Univ. of Versailles St.-Quentin, Versailles, France
Abstract :
In this paper, we present the benefit of the combination of machine learning (ML), case-based reasoning (CBR) and expert system (ES) approach to framework the knowledge-based system for MAQAO tool. We adopt the hybrid intelligent system to present the conception of this combination. We will come up with a new design that combines these techniques in order to improve analysis and optimization framework of scientific application.
Keywords :
case-based reasoning; expert systems; learning (artificial intelligence); optimisation; MAQAO tool; case-based reasoning; expert system; hybrid intelligent system; knowledge-based system; machine learning; modular assembler quality analyzer and optimizer; Assembly; Design optimization; Engines; Expert systems; Hybrid intelligent systems; Knowledge based systems; Machine learning; Navigation; Optimizing compilers; Performance analysis; Intelligent System; optimization; performance;
Conference_Titel :
High Performance Computing & Simulation, 2009. HPCS '09. International Conference on
Conference_Location :
Leipzig
Print_ISBN :
978-1-4244-4906-4
Electronic_ISBN :
978-1-4244-4907-1
DOI :
10.1109/HPCSIM.2009.5192122
