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Fpga Implementation Of Pso Algorithm And Neural Networks, Parviz Palangpour 2010 Missouri University of Science and Technology

Fpga Implementation Of Pso Algorithm And Neural Networks, Parviz Palangpour

Masters Theses

"This thesis describes the Field Programmable Gate Array (FPGA) implementations of two powerful techniques of Computational Intelligence (CI), the Particle Swarm Optimization algorithm (PSO) and the Neural Network (NN). Particle Swarm Optimization (PSO) is a popular population-based optimization algorithm. While PSO has been shown to perform well in a large variety of problems, PSO is typically implemented in software. Population-based optimization algorithms such as PSO are well suited for execution in parallel stages. This allows PSO to be implemented directly in hardware and achieve much faster execution times than possible in software. In this thesis, a pipelined architecture for hardware …


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