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- W2384605975 abstract "An improved particle swarm optimization neural network for automatic detection fertility of hatching eggs is presented.RGB images of eggs are obtained using computer vision technique,and are converted into HSI color images.Hue values of the images are extracted as the related feature of egg's surface.The primary components of feature parameters are extracted and selected using primary component analysis(PCA).Structure of multi-layer feedback forward neural network is optimized using an improved particle swarm optimization algorithm.Learning quality and training speed of the neural network are improved.The samples of network training are representative and comprehensive,it improved generalization ability of the neural network.The experimental results show that the neural network model for fertility of hatching eggs detection had a high accuracy and efficiency and the algo-rithm was robust." @default.
- W2384605975 created "2016-06-24" @default.
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- W2384605975 date "2007-01-01" @default.
- W2384605975 modified "2023-09-23" @default.
- W2384605975 title "Improved PSO neural network system for automatic detecting fertility of hatching eggs" @default.
- W2384605975 hasPublicationYear "2007" @default.
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