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Related Experiment Video

Updated: Oct 26, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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Forecast of E-Commerce Transactions Trend Using Integration of Enhanced Whale Optimization Algorithm and Support

Suqi Zhang1, Hsiung-Cheng Lin2, Xinxin Wang3

  • 1School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China.

Computational Intelligence and Neuroscience
|August 2, 2021
PubMed
Summary

This study introduces an enhanced whale optimization algorithm (EWOA) integrated with support vector machine (SVM) for accurate e-commerce transaction trend forecasting. The EWOA-SVM model demonstrates superior prediction accuracy and faster convergence compared to existing methods.

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Area of Science:

  • Computational Intelligence
  • E-commerce Analytics
  • Machine Learning

Background:

  • E-commerce is a vital global business model.
  • Accurate transaction trend forecasting is essential for market planning.
  • Existing forecasting methods may lack efficiency and accuracy.

Purpose of the Study:

  • To propose an integrated model for e-commerce transaction trend forecasting.
  • To enhance the whale optimization algorithm (WOA) for improved global optimization.
  • To optimize support vector machine (SVM) parameters using the enhanced algorithm.

Main Methods:

  • Enhancing the whale optimization algorithm (WOA) via a search updating strategy.
  • Utilizing gray correlation mechanism to identify key influencing factors.
  • Integrating the enhanced whale optimization algorithm (EWOA) with support vector machine (SVM) to create the EWOA-SVM model.
  • Optimizing SVM random parameters with the EWOA algorithm.

Main Results:

  • The proposed EWOA-SVM model shows enhanced global optimization capabilities.
  • The model effectively identifies and incorporates critical factors affecting e-commerce trends.
  • Case tests confirm the model's superior performance over existing methods.
  • The EWOA-SVM model achieved fast convergence speed and high prediction accuracy.

Conclusions:

  • The EWOA-SVM model provides a robust and accurate solution for e-commerce transaction trend forecasting.
  • The integration of EWOA and SVM offers significant improvements in prediction accuracy and efficiency.
  • This approach supports better market planning and development in the e-commerce sector.