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