Matches in SemOpenAlex for { <https://semopenalex.org/work/W4319438979> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4319438979 endingPage "835" @default.
- W4319438979 startingPage "835" @default.
- W4319438979 abstract "The current study shows the numerical performances of the fractional order mathematical model based on the Majnun and Layla (FO-MML) romantic story. The stochastic computing numerical scheme based on the scaled conjugate gradient neural networks (SCGNNs) is presented to solve the FO-MML. The purpose of providing the solutions of the fractional derivatives is to achieve more accurate and realistic performances of the FO-MML romantic story model. The mathematical model is divided into four dynamics, while the exactness is authenticated through the comparison of obtained and reference Adam results. Moreover, the negligible absolute error enhances the accuracy of the stochastic scheme. Fourteen numbers of neurons have been taken and the information statics are divided into authorization, training, and testing, which are divided into 12%, 77% and 11%, respectively. The reliability, capability, and accuracy of the stochastic SCGNNs is performed through the stochastic procedures using the regression, error histograms, correlation, and state transitions for solving the mathematical model." @default.
- W4319438979 created "2023-02-09" @default.
- W4319438979 creator A5020317036 @default.
- W4319438979 creator A5049648837 @default.
- W4319438979 date "2023-02-07" @default.
- W4319438979 modified "2023-10-18" @default.
- W4319438979 title "A Soft Computing Scaled Conjugate Gradient Procedure for the Fractional Order Majnun and Layla Romantic Story" @default.
- W4319438979 cites W1953306043 @default.
- W4319438979 cites W1975670568 @default.
- W4319438979 cites W1993149624 @default.
- W4319438979 cites W1998832108 @default.
- W4319438979 cites W2003751487 @default.
- W4319438979 cites W2029351779 @default.
- W4319438979 cites W2029585432 @default.
- W4319438979 cites W2042416481 @default.
- W4319438979 cites W2042761965 @default.
- W4319438979 cites W2047139403 @default.
- W4319438979 cites W2056850554 @default.
- W4319438979 cites W2069230532 @default.
- W4319438979 cites W2077013856 @default.
- W4319438979 cites W2082715695 @default.
- W4319438979 cites W2132319896 @default.
- W4319438979 cites W2149603556 @default.
- W4319438979 cites W2765839207 @default.
- W4319438979 cites W2782832274 @default.
- W4319438979 cites W2798427861 @default.
- W4319438979 cites W2902921931 @default.
- W4319438979 cites W2940248389 @default.
- W4319438979 cites W2954110777 @default.
- W4319438979 cites W2969767898 @default.
- W4319438979 cites W2995873270 @default.
- W4319438979 cites W3020127197 @default.
- W4319438979 cites W3035055142 @default.
- W4319438979 cites W3081161473 @default.
- W4319438979 cites W3081447890 @default.
- W4319438979 cites W3091623062 @default.
- W4319438979 cites W3096665853 @default.
- W4319438979 cites W3128408547 @default.
- W4319438979 cites W3154068444 @default.
- W4319438979 cites W3157304212 @default.
- W4319438979 cites W3168764689 @default.
- W4319438979 cites W3170559703 @default.
- W4319438979 cites W3205256555 @default.
- W4319438979 cites W3211948029 @default.
- W4319438979 cites W3216122690 @default.
- W4319438979 cites W4200464772 @default.
- W4319438979 cites W4319318707 @default.
- W4319438979 cites W4319318855 @default.
- W4319438979 doi "https://doi.org/10.3390/math11040835" @default.
- W4319438979 hasPublicationYear "2023" @default.
- W4319438979 type Work @default.
- W4319438979 citedByCount "3" @default.
- W4319438979 countsByYear W43194389792023 @default.
- W4319438979 crossrefType "journal-article" @default.
- W4319438979 hasAuthorship W4319438979A5020317036 @default.
- W4319438979 hasAuthorship W4319438979A5049648837 @default.
- W4319438979 hasBestOaLocation W43194389791 @default.
- W4319438979 hasConcept C11413529 @default.
- W4319438979 hasConcept C154945302 @default.
- W4319438979 hasConcept C28826006 @default.
- W4319438979 hasConcept C33923547 @default.
- W4319438979 hasConcept C41008148 @default.
- W4319438979 hasConcept C50644808 @default.
- W4319438979 hasConcept C81184566 @default.
- W4319438979 hasConceptScore W4319438979C11413529 @default.
- W4319438979 hasConceptScore W4319438979C154945302 @default.
- W4319438979 hasConceptScore W4319438979C28826006 @default.
- W4319438979 hasConceptScore W4319438979C33923547 @default.
- W4319438979 hasConceptScore W4319438979C41008148 @default.
- W4319438979 hasConceptScore W4319438979C50644808 @default.
- W4319438979 hasConceptScore W4319438979C81184566 @default.
- W4319438979 hasIssue "4" @default.
- W4319438979 hasLocation W43194389791 @default.
- W4319438979 hasOpenAccess W4319438979 @default.
- W4319438979 hasPrimaryLocation W43194389791 @default.
- W4319438979 hasRelatedWork W1498483156 @default.
- W4319438979 hasRelatedWork W1972221278 @default.
- W4319438979 hasRelatedWork W2154430791 @default.
- W4319438979 hasRelatedWork W2184451860 @default.
- W4319438979 hasRelatedWork W2360938009 @default.
- W4319438979 hasRelatedWork W2386387936 @default.
- W4319438979 hasRelatedWork W2392110728 @default.
- W4319438979 hasRelatedWork W4293324523 @default.
- W4319438979 hasRelatedWork W4361805568 @default.
- W4319438979 hasRelatedWork W2790828678 @default.
- W4319438979 hasVolume "11" @default.
- W4319438979 isParatext "false" @default.
- W4319438979 isRetracted "false" @default.
- W4319438979 workType "article" @default.