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- W2885187003 abstract "Predicting the solution of complex systems is a significant challenge. Complexity is caused mainly by uncertainty and nonlinearity. The nonlinear nature of many complex systems leaves uncertainty irreducible in many cases. In this work, a novel iterative strategy based on the feedback neural network is recommended to obtain the approximated solutions of the fully fuzzy nonlinear system (FFNS). In order to obtain the estimated solutions, a gradient descent algorithm is suggested for training the feedback neural network. An example is laid down in order to demonstrate the high accuracy of this suggested technique." @default.
- W2885187003 created "2018-08-22" @default.
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- W2885187003 date "2018-01-01" @default.
- W2885187003 modified "2023-10-18" @default.
- W2885187003 title "A New Computational Method for Solving Fully Fuzzy Nonlinear Systems" @default.
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- W2885187003 doi "https://doi.org/10.1007/978-3-319-98443-8_46" @default.
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