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Can I read Design of intelligent computing solver with Morlet wavelet neural networks for nonlinear predator–prey model on EtoBox?
Design of intelligent computing solver with Morlet wavelet neural networks for nonlinear predator–prey model by Umar, Muhammad (author);Sabir, Zulqurnain (author);Raja, Muhammad Asif Zahoor (author);Amin, Fazli (author);Saeed, Tareq (author);Sanchez, Yolanda Guerrero (author) is a Computer Science article available to read on EtoBox.
What is Design of intelligent computing solver with Morlet wavelet neural networks for nonlinear predator–prey model about?
The design of integrated intelligent computing solver with Morlet wavelet neural networks (MW-NNs) is presented for solving the mathematical predator–prey model by exploiting the strength of MW-NNs modeling, optimization ability of global search with genetic algorithms (GAs) and rapid local search eminence of sequential quadratic programming (SQP), i.e., MW-NNs-GA-SQP. The proposed MW-NNs-GA-SQP scheme is used to analyze the predator–prey dynamics for six different variables coefficient values. The validation, correctness and reliability of the presented MW-NNs-GA-SQP technique is attained through the consistent matched outcomes with the reference Adams numerical results. Moreover, statistics investigations have been accomplished to verify the precision and accuracy of the outcomes with proposed MW-NNs-GA-SQP solver via the performances of Theil’s inequality coefficient, Nash Sutcliffe efficiency and mean absolute error.
Who reads Design of intelligent computing solver with Morlet wavelet neural networks for nonlinear predator–prey model?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Umar, Muhammad (author);Sabir, Zulqurnain (author);Raja, Muhammad Asif Zahoor (author);Amin, Fazli (author);Saeed, Tareq (author);Sanchez, Yolanda Guerrero (author)
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Computer Science (Physical Sciences)