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Back-propagation artificial neural network was developed to study the relationship between the aging rates of capacity in Ni/H battery and alloying elements of cathode materials. Leave-one out method was used to train the ANN model. Test results showed that the prediction performance of the ANN model is satisfactory: the scatter dots distribute along the 0__45??diagonal line in the scatter diagram,...
Accurate rear axle damage prediction is very difficult because of the rotating speeds and the changing loads when the truck is running. In this paper, a new method, which consists of a data pretreatment (recursive processing) and artificial neural networks, is proposed to accurately predict rear axle damage. Simulated and the experimental results have shown the proposed method has relatively high...
The power load forecasting precision being influenced by many factors, the traditional forecasting tools are not very taking the role. In fact, BP network has the characteristics of the applicable and self-learning, and grey method has the growth characteristics,this paper used the correcting coefficient to improved the grey method, so the grey BP network method can better reflect the increasing and...
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