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Color information is very important for the applications of object recognition and image retrieval. However, the actual color varies by the illumination conditions. A supervised color correction based on hybrid algorithm combining Quantum Particle Swarm Optimization (QPSO) with Back Propagation (BP) neural network is proposed in this paper to reduce the effects of illumination conditions. Firstly,...
This paper presents a new BP neural network (BP NN) forecast model named IPSO-BP forecast model that is based on an improved particle swarm optimization (IPSO). The improved PSO employs parameter with crossover operator and mutations operator to significantly improve the performance of the original PSO algorithm in global search and fine-tuning of the solutions. This study uses the IPSO algorithm...
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