Stochastic Computational Heuristic for the Fractional Biological Model Based on Leptospirosis  

作　　者：Zulqurnain Sabir Sánchez-Chero Manuel Muhammad Asif Zahoor Raja Gilder-Cieza–Altamirano María-Verónica Seminario-Morales Fernández Vásquez JoséArquímedes Purihuamán Leonardo Celso Nazario Thongchai Botmart Wajaree Weera 

机构地区：[1]Department of Mathematics and Statistics,Hazara University,Mansehra,Pakistan [2]Universidad Nacional de Frontera,Sullana,Piura,Perú [3]Future Technology Research Center,National Yunlin University of Science and Technology,123 University Road,Section 3,Douliou,64002,Yunlin,Taiwan [4]Universidad Nacional Autónoma de Chota,Cajamarca,Perú [5]Universidad Cesar Vallejo,Trujillo,La Libertad,Perú [6]Universidad Señor de Sipán,Chiclayo,Perú [7]Department of Mathematics,Faculty of Science,Khon Kaen University,Khon Kaen,40002,Thailand

出　　处：《Computers, Materials & Continua》2023年第2期3455-3470,共16页计算机、材料和连续体（英文）

基　　金：National Research Council of Thailand(NRCT)and Khon Kaen University:N42A650291.

摘　　要：The purpose of these investigations is to find the numerical outcomes of the fractional kind of biological system based on Leptospirosis by exploiting the strength of artificial neural networks aided by scale conjugate gradient,called ANNs-SCG.The fractional derivatives have been applied to get more reliable performances of the system.The mathematical form of the biological Leptospirosis system is divided into five categories,and the numerical performances of each model class will be provided by using the ANNs-SCG.The exactness of the ANNs-SCG is performed using the comparison of the reference and obtained results.The reference solutions have been obtained by using theAdams numerical scheme.For these investigations,the data selection is performed at 82%for training,while the statics for both testing and authentication is selected as 9%.The procedures based on the recurrence,mean square error,error histograms,regression,state transitions,and correlation will be accomplished to validate the fitness,accuracy,and reliability of the ANNs-SCG scheme.

关 键 词：Fractional leptospirosis biological model artificial neural networks scale conjugate gradient numerical performances 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]