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Architecture Exploration Based on GA-PSO Optimization ...
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2024年12月9日 — This paper proposes an architecture exploration framework for DSP applications based on Particle Swarm Optimization (PSO) and genetic algorithms ...
Architecture Exploration Based on GA‐PSO Optimization ...
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由 A Elhossini 著作2013被引用 3 次 — This paper proposes an architecture exploration framework for DSP applications based on Particle Swarm Optimization (PSO) and genetic algorithms ...
Architecture Exploration Based on GA-PSO Optimization, ANN ...
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An architecture exploration framework for DSP applications based on Particle Swarm Optimization (PSO) and genetic algorithms (GA) techniques that can handle ...
Architecture Exploration Based on GA-PSO Optimization ...
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Architecture Exploration Based on GA-PSO Optimization, ANN Modeling, and Static Scheduling. Ahmed Elhossini ； Shawki Areibi ； Robert Dony. 《VLSI Design》 ...
Architecture-Exploration-Based-on-GA-PSO-Optimization-ANN- ...
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Architecture Exploration Based on GA-PSO Optimization,. ANN Modeling, and Static Scheduling. Ahmed Elhossini,1 Shawki Areibi,2 and Robert Dony2. 1 Al Azhar ...
Architecture Exploration Based on GA-PSO Optimization ...
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VLSI Design 2013. Architecture Exploration Based on GA-PSO Optimization, ANN Modeling, and Static Scheduling. DOI: 10.1155/2013/624369 · Ahmed Elhossini,Shawki ...
Architecture exploration based on GA-PSO optimization, ANN ...
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This paper proposes an architecture exploration framework for DSP applications based on Particle Swarm Optimization (PSO) and genetic algorithms (GA) techniques ...
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Patent Watch. Articles. Inventi:evs/103/14. ARCHITECTURE EXPLORATION BASED ON GA-PSO OPTIMIZATION, ANN MODELING AND STATIC SCHEDULING. 31-Mar-2014 Research 2014 ...
Architecture Exploration Based on GA-PSO Optimization ANN ...
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This paper proposes an architecture exploration framework for DSP applications based on Particle Swarm Optimization (PSO) and genetic algorithms (GA) techniques ...
Ahmed Elhossini
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... Design (DSD), 533-537, 2017. 3, 2017. Architecture Exploration Based on GA‐PSO Optimization, ANN Modeling, and Static Scheduling. A Elhossini, S Areibi, R Dony.