A dynamic Prediction Platform for Semiconductor Technology Improvement Trends and Related Enterprise Value based on Poisson Estimation

A dynamic prediction platform for semiconductor technology improvement trends and related enterprise value based on Poisson estimation is studied in the study. This paper analyzes 64 Shanghai and Shenzhen listed semiconductor companies in 2016 to 2018, studied the correlation between innovation input and firm value. The innovations of the designed model are: (1) Through direct intelligent communication, the fab will become a more suitable environment for CPPS equipment to meet CPS batch requirements and this research study will consider this as the data analytic model. (2) For the efficient analysis, the Poisson estimation should be integrated and considered. Random effects models are powerful tools for analyzing such data. (3) The smart platform is combined for the global optimization.