Hybridization of Chaotic Quantum Particle Swarm Optimization with SVR in Electric Demand Forecasting
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چکیده
منابع مشابه
Hybridization of Chaotic Quantum Particle Swarm Optimization with SVR in Electric Demand Forecasting
Abstract: In existing forecasting research papers support vector regression with chaotic mapping function and evolutionary algorithms have shown their advantages in terms of forecasting accuracy improvement. However, for classical particle swarm optimization (PSO) algorithms, trapping in local optima results in an earlier standstill of the particles and lost activities, thus, its core drawback ...
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ژورنال
عنوان ژورنال: Energies
سال: 2016
ISSN: 1996-1073
DOI: 10.3390/en9060426