使用改进的GAN去生成数据,并使用生成的数据去训练LSTM网络,从而提高预测电池SOH的准确率
将数据标准化以后,在进行训练,然后对生成的数据进行反标准化,将反标准化的结果存入csv
将特征分为单条数据进行生成,电压、温度、时间
特征数据包含电池充电时间,电池放电时间,最高温度,IC容量曲线峰值
This project forked from the-mood/lc_gan_lstm_soh_predict
使用改进的GAN去生成数据,并使用生成的数据去训练LSTM网络,从而提高预测电池SOH的准确率
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