Title | ||
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Intelligent computing technique for solving singular multi-pantograph delay differential equation |
Abstract | ||
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The purpose of this study is to introduce a stochastic computing solver for the multi-pantograph delay differential equation (MP-DDE). The MP-DDE is not easy to solve due to the singularities and pantograph terms. An advance computational intelligent paradigm is proposed to solve MP-DDE of the second kind by manipulating the procedures of the artificial neural networks (ANNs) through the optimization of genetic algorithm (GA) and sequential quadratic programming (SQP), i.e., ANNs-GA-SQP. A fitness function is constructed based on MP-DDE of second kind and corresponding boundary conditions. The correctness of the ANNs-GA-SQP is observed by performing the comparison of the proposed and exact solutions. The values of the absolute error (AE) in good measures are provided to solve the MP-DDE of the second kind. The efficacy and correctness of the stochastic computing approach to solve three problems of the MP-DDE of second kind to signify the efficiency, worth, and consistency. Moreover, the statistical soundings are applied to validate the accuracy and consistency. |
Year | DOI | Venue |
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2022 | 10.1007/s00500-022-07065-0 | Soft Computing |
Keywords | DocType | Volume |
Pantograph, Stochastic computing, Artificial intelligence, Statistical soundings, Global scheme, Singular systems, Local search scheme | Journal | 26 |
Issue | ISSN | Citations |
14 | 1432-7643 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sabir, Zulqurnain | 1 | 0 | 0.34 |
Wahab, Hafiz Abdul | 2 | 0 | 0.34 |
Nguyen, Tri Gia | 3 | 0 | 0.34 |
Altamirano, Gilder Cieza | 4 | 0 | 0.34 |
Erdoğan, Fevzi | 5 | 0 | 0.34 |
Ali, Mohamed R. | 6 | 0 | 0.34 |