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Sabir Z, Umar M, Raja MAZ, Baskonus HM, Gao W. Designing of Morlet wavelet as a neural network for a novel prevention category in the HIV system. INT J BIOMATH 2021. [DOI: 10.1142/s1793524522500127] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The aim of this work is to present a design of Morlet wavelet neural network (MWNN) for solving a novel prevention category (P) in the HIV system, known as HIPV mathematical model. The numerical performance of the novel HIPV mathematical model will be observed by exploiting the MWNN that works through the optimization procedures of global/local via “genetic algorithm (GA)” and local search “interior-point algorithm (IPA)”, i.e. MWNN-GA-IPA. An error function using the differential HIPV mathematical model and its initial conditions is presented and optimized by the MWNN-GA-IPA. The obtained results have been compared with the Adams method to check the competence of the MWNN-GA-IPA. For the reliability and stability of the scheme, the performance using different statistical operators has been performed based on the multiple independent trials to solve the novel HIPV mathematical model.
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Affiliation(s)
- Zulqurnain Sabir
- Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan
- Department of Mathematics and Science Education, Harran University, Sanliurfa, Turkey
| | - Muhammad Umar
- Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan
| | - Muhammad Asif Zahoor Raja
- Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan, R.O.C
| | - Haci Mehmet Baskonus
- Department of Mathematics and Science Education, Harran University, Sanliurfa, Turkey
| | - Wei Gao
- School of Information Science and Technology, Yunnan Normal University, Yunnan, P. R. China
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