Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems 1st Edition Yeliz Karaca

Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems – Ebook Instant Download/Delivery ISBN(s): 9780323900324,0323900321

Product details:

• ISBN-10 ‏ : ‎ 0323900321
• ISBN-13 ‏ : ‎ 978-0323900324
• Author(s): Yeliz Karaca, Dumitru Baleanu, Yu-Dong Zhang, Osvaldo Gervasi, Majaz Moonis

Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems addresses different uncertain processes inherent in the complex systems, attempting to provide global and robust optimized solutions distinctively through multifarious methods, technical analyses, modeling, optimization processes, numerical simulations, case studies as well as applications including theoretical aspects of complexity. Foregrounding Multi-chaos, Fractal and Multi-fractional in the era of Artificial Intelligence (AI), the edited book deals with multi- chaos, fractal, multifractional, fractional calculus, fractional operators, quantum, wavelet, entropy-based applications, artificial intelligence, mathematics-informed and data driven processes aside from the means of modelling, and simulations for the solution of multifaceted problems characterized by nonlinearity, non-regularity and self-similarity, frequently encountered in different complex systems. The fundamental interacting components underlying complexity, complexity thinking, processes and theory along with computational processes and technologies, with machine learning as the core component of AI demonstrate the enabling of complex data to augment some critical human skills. Appealing to an interdisciplinary network of scientists and researchers to disseminate the theory and application in medicine, neurology, mathematics, physics, biology, chemistry, information theory, engineering, computer science, social sciences and other far-reaching domains, the overarching aim is to empower out-of-the-box thinking through multifarious methods, directed towards paradoxical situations, uncertain processes, chaotic, transient and nonlinear dynamics of complex systems.

Table contents:

Chapter 1. Introduction
Chapter 2. Theory of complexity, origin and complex systems
Chapter 3. Multi-chaos, fractal and multi-fractional AI in different complex systems
Chapter 4. High-performance computing and computational intelligence applications with a multi-chaos perspective
Chapter 5. Human hypercomplexity. Error and unpredictability in complex multichaotic social systems
Chapter 6. Multifractal complexity analysis-based dynamic media text categorization models by natural language processing with BERT
Chapter 7. Mittag-Leffler functions with heavy-tailed distributions’ algorithm based on different biology datasets to be fit for optimum mathematical models’ strategies
Chapter 8. Artificial neural network modeling of systems biology datasets fit based on Mittag-Leffler functions with heavy-tailed distributions for diagnostic and predictive precision medicine
Chapter 9. Computational fractional-order calculus and classical calculus AI for comparative differentiability prediction analyses of complex-systems-grounded paradigm
Chapter 10. Pattern formation induced by fractional-order diffusive model of COVID-19

Chapter 11. Prony’s series and modern fractional calculus: Rheological models with Caputo-Fabrizio operator
Chapter 12. A chain of kinetic equations of Bogoliubov–Born–Green–Kirkwood–Yvon and its application to nonequilibrium complex systems
Chapter 13. Hearing loss detection in complex setting by stationary wavelet Renyi entropy and three-segment biogeography-based optimization

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