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Title
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Fractional Genocchi neural network method and its application in solving stochastic fractal–fractional differential equations system
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Type
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Presentation
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Keywords
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Fractional Genocch functions, Neural network method, fractal–fractional differential equations system, Numerical method, stochastic problem
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Abstract
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This study aims to develop and present a novel computational framework that integrates fractional Genocchi functions with a neural network-based approach to effectively obtain numerical solutions for stochastic fractal–fractional differential equation systems. The proposed neural network consists of three layers (input layer, hidden layer, output layer). The fractional Genocchi functions are employed as activation functions in the hidden layer, while the sinh function is used as the activation function in the output layer. respectively.
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Researchers
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Reza Moeti (Second Researcher), Parisa Rahimkhani (First Researcher)
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