Deep Learning based Financial Management with Decision Support Systems for Adaptive Organization

The complexities of dynamic business platforms are overcome using the aid of strategic utilization of decision support systems (DSS) for financial management in adaptive organizations. Adaptive organizations are the ones that proactively respond to changes in their internal and external environments. Decision support systems are an important part of providing analytical tools with modelling strategies. This helps the financial managers to make informed decisions. The proposed system used deep learning with a genetic algorithm for decision support in financial management within adaptive organizations. They are used for various parameters such as resource allocation and risk assessment. The adaptability of genetic algorithms helps in obtaining optimum solutions with aligning perfectly with the dynamic structure of the adaptive organizations. The integration of genetic algorithms provides numerous advantages in financial management. The genetic algorithm discovers huge solution space which helps the organization for the identification of optimal financial strategies in dynamic environments. They play an important role in financial decision-making. The use of genetic algorithms in financial decision support systems improves the adaptability of the organization. The iterative phenomena of genetic algorithms help the system to adapt to the changing financial environment. Thus the proposed system helps in achieving optimum resource allocation with automatic decision-making techniques.