Yeliz KARACA

Computational Complexity-based Fractional-Order Neural Network Models for the Diagnostic Treatments and Predictive Transdifferentiability of Heterogeneous Cancer Cell Propensity

Computational Complexity-based Fractional-Order Neural Network Models for the Diagnostic Treatments and Predictive Transdifferentiability of Heterogeneous Cancer Cell Propensity

Chaos Theory and Applications

2023-Cilt: 5 - Sayı: 1

34-51

Computational complexity, Complex systems, Artificial Intelligence (AI), Chaos theory, Fractional calculus, Fractional-order derivatives, Mittag-Leffler function, Heavy-tailed distributions, Computational biocomplexity, Nonlinearity and uncertainty, Multilayer perceptron algorithm (MLP), Neural networks, Transdifferentiable mathematics-informed framework, Complex order optimization, Mathematical biology, Data-driven fractional-order biological modeling, Cancer cell propensity

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