Dominant Design Prediction with Phylogenetic Networks
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Abstract (arXiv)
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.
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References · 3
- 2016Convolutional Neural Networks on Graphs with Fast Localized Spectral Filteringcited by 2,089
- 2015Gated Graph Sequence Neural Networkscited by 796
- 2020Graph Neural Networks in TensorFlow and Keras with Spektralcited by 60
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