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基于遗传算法优化神经网络的产品造型大数据设计方案决策模型。

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

机构信息

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

出版信息

Comput Intell Neurosci. 2021 Jul 29;2021:9315700. doi: 10.1155/2021/9315700. eCollection 2021.

DOI:10.1155/2021/9315700
PMID:34367272
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8346316/
Abstract

At present, machine learning artificial neural network technology, as one of the core technologies of enterprises, has received unprecedented attention. This technology is widely used in automatic driving, pattern recognition, teaching aid, product modeling, and other fields. According to the development of product design, this paper analyzes the factors that affect the decision-making of product design. The neural network optimized by genetic algorithm is studied, and the technical analysis of neural network algorithm before and after optimization is mainly carried out. The basic process of product modeling design model based on image processing under the background of big data is introduced. The multidirectional group decision-making model of product modeling design scheme in big data cloud environment is constructed. The final decision model can improve the overall design efficiency, shorten the manufacturing period, and provide a new idea for product modeling design.

摘要

目前，机器学习人工神经网络技术作为企业的核心技术之一，受到了前所未有的关注。这项技术广泛应用于自动驾驶、模式识别、教学辅助、产品建模等领域。本文根据产品设计的发展，分析影响产品设计决策的因素。研究了遗传算法优化的神经网络，并主要进行了优化前后神经网络算法的技术分析。介绍了大数据背景下基于图像处理的产品造型设计模型的基本过程。构建了大数据云环境下产品造型设计方案的多向群组决策模型。最终的决策模型可以提高整体设计效率，缩短制造周期，为产品造型设计提供了新的思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269d/8346316/12cbd618226b/CIN2021-9315700.010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269d/8346316/12cbd618226b/CIN2021-9315700.010.jpg

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