Abstract:     With the advancement of the new round of technological revolution, application of the digital innovation ecosystem offers opportunities for the intelligent development of the high-end equipment manufacturing industry. This study innovatively employed deep neural networks to construct a Long Short-Term Memory (LSTM) model, and identified key factors of the digital innovation ecosystem influencing the intelligent development of high-end equipment manufacturing through modeling and predictive analysis. The findings revealed that the digital innovation ecosystem significantly promotes the intelligent development of the high-end equipment manufacturing industry. Within this ecosystem, eight factors—intelligent facility construction, solvency, growth capability, proportion of R&D personnel, innovation output, innovation benefits, innovation investment, and the proportion of effective invention patents—demonstrate a significantly higher contribution to intelligent development compared to other factors, with distinct variations in their impact levels. The study revealed and thoroughly analyzed the roles of key factors in the digital innovation ecosystem, and through a comprehensive assessment of their relative contributions, uncovered their actual impact on the enterprise′s level of intelligent development. This paper has provided important theoretical supports for constructing an objective, logical framework and evaluation system for the digital innovation ecosystem, and it will offer practical references for high-end equipment manufacturing enterprises to formulate intelligent development strategies.

Key words: digital innovation ecosystem, constituent factor, high-end equipment manufacturing enterprise, intelligent development, Long Short-Term Memory (LSTM) model