LSTM:,

Yongli Tang1, Zhenlun Gao1, Zhongqi Cai1

  • 1School of Software, Henan Polytechnic University, Jiaozuo, Henan, China.

PubMed
概括

本研究介绍了一种改进的灰狼优化器,具有多头自我注意力和LSTM (IGML) 模型,用于增强金融市场预测. 通过优化特征相互作用和超参数,IGML模型显著提高了预测期货价格差距的准确性.

相关概念视频

End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
614
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.9K