相关实验视频

Updated: Jun 5, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

637

一个优化的LSTM网络用于改进套利扩散预测,使用殖民地交叉搜索在K-fold超参数空间

Zeliang Zeng1, Panke Qin1,2, Yue Zhang1

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

PeerJ. Computer science
|December 16, 2024
PubMed
概括

预测套利利差对于算法交易至关重要. 一个新的K-fold交叉搜索算法优化的LSTM (KCS-LSTM) 网络提高了预测准确性和稳定性,优于现有模型.

关键词:
启发式算法 启发式算法超参数调整 超参数调整商品间差额差额是指商品间差额.在 LSTM 网络中,

更多相关视频

Surrogate Model Development for Digital Experiments in Welding09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

699
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.2K

相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
40