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长春光学精密机械与物... [1]
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会议论文 [1]
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2010 [1]
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The costs prediction of AOD furnace based on improved RBF neural network (EI CONFERENCE)
会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Na T.
;
Zhang D.-J.
;
Hui L.
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提交时间:2013/03/25
In order to predict the cost
a model of cost prediction was set up based on adaptive hierarchical genetic algorithm and RBF neural network. Hierarchical genetic algorithm could optimize the topology and the parameters simultaneously. Compared with simple genetic algorithm
it has more efficiency in not only accelerating and stabilizing the parameters training but also determining the structure of the network. Adaptive crossover and mutation probability could accelerate the speed and avoid prematurity. The model was tested by five samples. The results showed that the prediction model has high prediction accuracy
which indicated that it was applicable to predict the cost by the model. 2010 IEEE.
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