Designing of Morlet wavelet as a neural network for a novel prevention category in the HIV system. (English) Zbl 1492.92111
Summary: 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.
MSC:
| 92D30 | Epidemiology |
| 92-10 | Mathematical modeling or simulation for problems pertaining to biology |
Keywords:
HIV model; prevention category; Adams results; Morlet wavelet neural networks; infection system; interior-point technique; genetic algorithmSoftware:
FORCES NLPReferences:
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