In reference to the dynamics of learning with an associated fuzzy uncertainty, the relevant stochasticity versus time discourse is described in terms of a FFPE.
Neelakanta, P.S., Abusalah, S.T., Groff, D.F.D. and Park, J.C. (1998) Fuzzy nonlinear activity and dynamics of fuzzy uncertainty in the neural complex.
Oct 1, 2024 · This study delves into complex brain functional connectivity using biophysical nonlinear dynamics approaches.
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Application and Empirical Analysis of Fuzzy Neural Networks in Mining ...
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Nov 4, 2024 · As a powerful tool for dealing with uncertainty, ambiguity and subjective data, fuzzy logic has demonstrated its unique application value in ...
Fuzzy nonlinear activity and dynamics of fuzzy uncertainty in the neural complex · Computer Science, Mathematics. Neurocomputing · 1998.
Oct 22, 2024 · Abstract In this paper fuzzy dynamics are applied to the description of motivated behavior. We have shown that in an important case of ...
May 21, 2023 · The findings from this research study will improve the accuracy of construction scheduling, resulting in improved project performance and reduced costs.
Fuzzy logic approach for controlling uncertain and nonlinear systems
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This paper presents a comprehensive review of the latest developments in fuzzy logic (FL) applications across critical domains.
In this book chapter, two types of neural networks are applied to obtain the approximate solutions of the fully fuzzy nonlinear system (FFNS). For obtaining the ...
This e-book has include frontline research in computational neuroscience and cognitive psychology involving applications of nonlinear analysis, especially ...