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篇名 |
Prediction of Battery Discharge States Based on the Recurrent Neural Network
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並列篇名 | Prediction of Battery Discharge States Based on the Recurrent Neural Network |
作者 | Yi-Zeng Hsieh、Shih-Wei Tan、Siang-Long Gu、Yu-Lin Jeng |
英文摘要 | The recurrent neural network can solve the time sequential problems and the battery discharge state is predicted based on the time sequential neural network. The main purpose is to predict the battery discharge condition with recurrent neural network, and then improve the traditional mathematical prediction method. Nowadays, prediction of the battery life cycle is more important. Compared with our models, there are the five fixing currents as testing experiments. The error rate has less than 2% and the prediction battery life is close to real data. |
起訖頁 | 115-123 |
關鍵詞 | Deep learning、Battery life prediction、LSTM、RNN、GRU |
刊名 | 網際網路技術學刊 |
期數 | 202001 (21:1期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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