相关实验视频
Updated: Sep 10, 2025

07:00
Measuring the Switch Cost of Smartphone Use While Walking
Published on: April 30, 2020
1.9K
利用时间序列分析预测移动支付用户的增长及其对数字经济的影响
1School of International Business, Hunan University of Information Technology, ChangSha, China.
PloS one
|August 21, 2025
概括
预测移动支付的增长是很困难的, 但新的混合ARIMA-LSTM-变压器模型显示出卓越的准确性. 这种先进的方法为数字经济规划和市场分析提供了可靠的预测.
科学领域:
- 计算机科学
- 数据科学
- 经济学
背景情况:
- 移动支付系统的快速增长给预测带来了挑战.
- 市场动态和用户采用的复杂性阻碍了准确的预测.
- 现有的预测方法难以应对移动支付市场的复杂性.
研究的目的:
- 为移动支付系统开发先进的预测模型.
- 应对市场动态和采用因素在预测方面的挑战.
- 提高移动支付市场预测的准确性和适应性.
主要方法:
- 提出了一个混合ARIMA-LSTM-变压器模型.
- 综合时间序列预测,顺序学习和注意力机制.
- 使用五个不同的数据集验证模型.
主要成果:
- 达到0.075的平均绝对误差 (MAE).
- 记录的平方根平均误差 (RMSE) 为0.121.
- 获得了0.948的确定系数 (R2),证明了卓越的性能.
结论:
- 混合ARIMA-LSTM-变压器模型显著优于传统的预测方法.
- 该模型的高精度和适应性适用于现实世界.
- 这项研究为数字经济规划和移动支付市场分析提供了宝贵的见解.
相关概念视频
Issues And Trends In Healthcare Delivery System
5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Applications of Life Tables
123
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
123
Steps in Outbreak Investigation
199
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
199
Discrete-Time Fourier Series
356
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
For a discrete-time periodic signal x[n]...
356
Time-Series Graph
4.5K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.5K
Current Trends in Nursing II
1.4K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.4K

