Dynamics of Fractional Differential Model for Schistosomiasis Disease

作     者：Thongchai Botmart Wajaree Weera Muhammad Asif Zahoor Raja Zulqurnain Sabir Qusain Hiader Gilder Cieza Altamirano Plinio Junior Muro Solano Alfonso Tesen Arroyo 

作者机构：Department of MathematicsFaculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand Future Technology Research CenterNational Yunlin University of Science and TechnologyDouliouYunlin64002Taiwan Department of Mathematics and StatisticsHazara UniversityMansehra21120Pakistan Department of MathematicsUniversity of GujratGujrat50700Pakistan Universidad Nacional Autónoma de ChotaChota06121Peru Universidad Nacional Pedro Ruiz GalloLambayeque14013Peru 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第73卷第10期

页      面：981-999页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：This research is supported by Department of Mathematics Faculty of Science Khon Kaen University Fiscal Year 2022 

主　　题：Biological model fractional order schistosomiasis disease artificial neural networks reference results Levenberg-Marquardt backpropagation 

摘      要：In the present study,a design of a fractional order mathematical model is presented based on the schistosomiasis *** observe more accurate performances of the results,the use of fractional order derivatives in the mathematical model is introduce based on the schistosomiasis disease is *** preliminary design of the fractional order mathematical model focused on schistosomiasis disease is classified as follows:uninfected with schistosomiasis,infected with schistosomiasis,recovered from infection,susceptible snail unafflicted with schistosomiasis disease and susceptible snail afflicted with this *** solutions to the proposed system of the fractional order mathematical model will be presented using stochastic artificial neural network(ANN)techniques in conjunction with the LevenbergMarquardt backpropagation(LMBP),referred to as *** illustrate the preciseness of the ANN-LMBP method,mathematical presentations of three different values focused on fractional order will be *** statics performances are taken in these investigations are 78%and 11%for both learning and *** accuracy of the ANN-LMBP method is determined by comparing the values obtained by the database Adams-Bash forth-Moulton *** simulation-based error histograms(EHs),MSE,recurrence,and state transitions(STs)will be offered to achieve the capability,accuracy,steadiness,abilities,and finesse of the ANN-LMBP method.