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Decision-Making Model of Product Modeling Big Data Design Scheme Based on Neural Network Optimized by Genetic

Ming Hu1

  • 1School of Art, Wuxi Taihu University, Wuxi, Jiangsu 214064, China.

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This study optimizes artificial neural networks using genetic algorithms for product design. The enhanced model improves decision-making, boosting design efficiency and shortening manufacturing timelines.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Engineering

Background:

  • Machine learning and artificial neural networks are crucial enterprise technologies.
  • These technologies are applied in diverse fields like autonomous driving, pattern recognition, and product modeling.
  • Product design decision-making is influenced by various factors requiring advanced analytical methods.

Purpose of the Study:

  • To analyze factors affecting product design decision-making.
  • To investigate genetic algorithm-optimized neural networks for product modeling.
  • To construct a multidirectional group decision-making model for product design schemes in big data environments.

Main Methods:

  • Analysis of factors influencing product design decisions.
  • Technical examination of neural network algorithms before and after genetic algorithm optimization.
  • Introduction of a product modeling design process utilizing image processing within a big data framework.
  • Construction of a multidirectional group decision-making model for product design schemes.

Main Results:

  • The study presents a technical analysis comparing optimized and unoptimized neural network algorithms.
  • A product modeling design model leveraging image processing in big data is detailed.
  • A multidirectional group decision-making model for product design schemes is successfully constructed.

Conclusions:

  • The developed decision model enhances overall design efficiency.
  • The model contributes to shortening product manufacturing periods.
  • This research offers novel insights and approaches for product modeling and design.