Differential equations and dynamical systems
Differential equations and dynamical systems
Neural networks in designing fuzzy systems for real world applications
Fuzzy Sets and Systems
Neutrosophic logics: Prospects and problems
Fuzzy Sets and Systems
Color texture image segmentation based on neutrosophic set and wavelet transformation
Computer Vision and Image Understanding
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Probabilistic methods have been used to model uncertainty in many optimization problems, an alternative is to use NeuroFuzzy and Neutrosophic control methods to model uncertainties with new economies. New economies have a solid impact on the growth of financial markets. In this day of age, one needs to be able to monitor these rapid dynamical changes with as much precision as possible. The NeuroFuzzy and Neutrosophic control based optimization minimizes the system possibility of failure.Therefore, we are able to formulate our optimal control model with significant reliability. NeuroFuzzy systems combine the advantages of fuzzy systems - the transparent representation of knowledge and the ability to cope with uncertainties with the advantages of neural nets. In this paper, we have proposed and designed a NeuroFuzzy and Neutrosophic and control system for analysing the impact of new economies growth and decline.