Dominant Design Prediction with Phylogenetic Networks

• DOI: 10.48550/arxiv.2407.10206
• Publication Date: 2024-07-14
• Authors: Youwei He; Jeong‐Dong Lee; Dawoon Jeong; Sungjun Choi; Jiyong Kim
• Keywords: Computational Engineering, Finance, and Science (cs.CE); Social and Information Networks (cs.SI); FOS: Computer and information sciences; Artificial Intelligence (cs.AI); Computer Science - Artificial Intelligence; Computer Science - Neural and Evolutionary Computing; Computer Science - Social and Information Networks; Neural and Evolutionary Computing (cs.NE); Computer Science - Computational Engineering, Finance, and Science

This study proposes an effective method to predict technology development from evolutionary perspective. Product evolution is the result of technological and market selection. A phylogenetic network main product evolution. The formation dominant design determines trajectory development. How future has become a key issue in forecasting new We define use machine learning methods, combined with theory, construct Fully Connected Phylogenetic Network dataset effectively design.