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Updated: May 9, 2025

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基于LSTM符合预测的比特币预测方法,以提高可靠性

Xiangyue Zhang1, Yuyun Kang2, Chao Li3

  • 1School of Information Science and Engineering, Linyi University, Linyi, Shandong, China.

PloS one
|May 2, 2025
PubMed
概括

本研究介绍了一种具有符合性预测 (CP) 模型的长短期记忆 (LSTM),以提高比特币价值预测可靠性. 结合LSTM-CP方法提高了预测准确性,并为加密货币预测提供可验证的置信区间.

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Prediction Intervals01:03

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
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An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a  sample proportion. However, unlike the point estimate which is a single value, the confidence interval  contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A...
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To construct a confidence interval for a single unknown population mean μ, where the population standard deviation is known, we need sample mean as an estimate for μ and we need the margin of error. Here, the margin of error (EBM) is called the error bound for a population mean (abbreviated EBM). The sample mean is the point estimate of the unknown population mean μ.
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William S. Gosset (1876–1937) of the...
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