Chaos theory in technology forecasting

This paper establishes that there is a strong relationship between chaos theory and technology evolution. The challenge in R&D investment in the long term is particularly acute, since the nonlinear system of technology has changed its qualitative characteristics into new phases. At the same time, what chaos theory reveals, especially bifurcation patterns, is that future performance of a system is often a complex, repetitive pattern rather than a one way process. The general trend of evolution according to bifurcation types can be employed to better understand technological forecasting. The authors also propose a promising mathematical model using a neural network to perform the pattern recognition