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Fractal and Fractional, Volume 8, Issue 11

November 2024 - 63 articles

Cover Story: Recently, a first-order recurrent neural network activated by a Morlet wavelet function was introduced which can identify multiple chaotic systems in a black-box scheme, i.e., the neural network knows nothing about the system to be identified and its structure and synaptic weights remain fixed. As a limitation, it was found that traditional systems such as Lorenz and Rösser were not identified, which raised the question: can such a first-order recurrent neural network improve its identification capabilities when modeled by fractional-order operators? The results suggest that such a combination does not cause significant changes in the identification properties of the neural network. However, scenarios were found where the neural algorithm identifies the Rössler system. View this paper
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Articles (63)

  • Article
  • Open Access
4 Citations
2,171 Views
34 Pages

This work presents an improved modelling approach for wind turbine power curves (WTPCs) using fractional differential equations (FDE). Nine novel FDE-based models are presented for mathematically modelling commercial wind turbine modules’ power...

  • Article
  • Open Access
7,783 Views
10 Pages

Some Insights into the Sierpiński Triangle Paradox

  • Miguel-Ángel Martínez-Cruz,
  • Julián Patiño-Ortiz,
  • Miguel Patiño-Ortiz and
  • Alexander S. Balankin

We realize that a Sierpiński arrowhead curve (SAC) fills a Sierpiński gasket (SG) in the same manner as a Peano curve fills a square. Namely, in the limit of an infinite number of iterations, the fractal SAC remains self-avoiding, such that...

  • Article
  • Open Access
3 Citations
1,821 Views
18 Pages

This paper proposes a fractional order integral-derivative plus second-order derivative with low-pass filters and a tilt controller called IλDND2N2-T to improve the control performance of an automatic voltage regulator (AVR). In this study, eq...

  • Article
  • Open Access
5 Citations
3,391 Views
18 Pages

Approaching Multifractal Complexity in Decentralized Cryptocurrency Trading

  • Marcin Wątorek,
  • Marcin Królczyk,
  • Jarosław Kwapień,
  • Tomasz Stanisz and
  • Stanisław Drożdż

Multifractality is a concept that helps compactly grasp the most essential features of financial dynamics. In its fully developed form, this concept applies to essentially all mature financial markets and even to more liquid cryptocurrencies traded o...

  • Article
  • Open Access
4 Citations
1,735 Views
17 Pages

Traditional operational calculus, while intuitive and effective in addressing problems in physical fractal spaces, often lacks the rigorous mathematical foundation needed for fractional operations, sometimes resulting in inconsistent outcomes. To add...

  • Article
  • Open Access
1 Citations
1,070 Views
18 Pages

Common Attractors of Generalized Hutchinson–Wardowski Contractive Operators

  • Bilal Iqbal,
  • Naeem Saleem,
  • Iram Iqbal and
  • Maggie Aphane

The aim of this paper is to obtain a fractal set of ℑ-iterated function systems comprising generalized ℑ-contractions. For a variety of Hutchinson–Wardowski contractive operators, we prove that this kind of system admits a unique co...

  • Article
  • Open Access
2 Citations
2,270 Views
8 Pages

Seasonal Long Memory in Retail Sales in the G7 Countries

  • Luis Alberiko Gil-Alana and
  • Carlos Poza

This article examines the seasonal patterns of retail sales in the G7 nations, a key component of private consumption. Using seasonal fractional integration, we assess whether shocks present a lasting or temporary effect on retail sales trends, consi...

  • Article
  • Open Access
4 Citations
2,191 Views
26 Pages

Realizing the integration of intelligent fruit picking and grading for apple harvesting robots is an inevitable requirement for the future development of smart agriculture and precision agriculture. Therefore, an apple maximum diameter estimation mod...

  • Article
  • Open Access
1,936 Views
16 Pages

Our investigation demonstrates the necessity of mathematical modeling and design methodologies for nerve signals in the creation of artificial arms. Nerve impulses vary widely in speed; for example, unmyelinated nerves transmit impulses at around one...

  • Article
  • Open Access
2 Citations
1,286 Views
25 Pages

The fractional differential quadrature method (FDQM) with generalized Caputo derivatives is used in this paper to show a new numerical way to solve fractional Riccati equations and fractional Lorenz systems. Unlike previous FDQM applications that hav...

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Fractal Fract. - ISSN 2504-3110