Dynamic modeling for product family evolution combined with artificial neural network based forecasting model: A study of iPhone evolution
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DOI: 10.1016/j.techfore.2022.121549
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- Zhao, Zichao & Li, Dexuan & Dai, Wensheng, 2023. "Machine-learning-enabled intelligence computing for crisis management in small and medium-sized enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
- Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
- Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
- Wenbin Zhou & Xuhui Xia & Lei Wang & Zelin Zhang & Baotong Chen, 2022. "A Product Evolution Rules Based Method for Retired Mechanical Product Demand Acquisition," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
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Keywords
Product family evolution; Dynamic model; Neural network; Forecasting model; Grey relational analysis; Fuzzy analytical hierarchy process;All these keywords.
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