{"title":"人工神经网络在射频工程PDE求解中的应用","authors":"S. Pattanaik, M. R.K.","doi":"10.18000/IJISAC.50028","DOIUrl":null,"url":null,"abstract":"Artificial Neural Network (ANN) is used to solve the differential equation used in RF Engineering. Solution of Poisson’s equation and wave equation are illustrated as example with different boundary conditions like pure Dirichlet, pure Neumann and mixed boundary condition. The formulation considers it as an optimization problem and therefore proposes solutions for both constrained and unconstrained optimization. The results are compared with the analytical results computed using standard established methods and found to be in good agreement.","PeriodicalId":121456,"journal":{"name":"International Journal on Information Sciences and Computing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Application of ANN for Solution of PDE in RF Engineering\",\"authors\":\"S. Pattanaik, M. R.K.\",\"doi\":\"10.18000/IJISAC.50028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial Neural Network (ANN) is used to solve the differential equation used in RF Engineering. Solution of Poisson’s equation and wave equation are illustrated as example with different boundary conditions like pure Dirichlet, pure Neumann and mixed boundary condition. The formulation considers it as an optimization problem and therefore proposes solutions for both constrained and unconstrained optimization. The results are compared with the analytical results computed using standard established methods and found to be in good agreement.\",\"PeriodicalId\":121456,\"journal\":{\"name\":\"International Journal on Information Sciences and Computing\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal on Information Sciences and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18000/IJISAC.50028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Information Sciences and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18000/IJISAC.50028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of ANN for Solution of PDE in RF Engineering
Artificial Neural Network (ANN) is used to solve the differential equation used in RF Engineering. Solution of Poisson’s equation and wave equation are illustrated as example with different boundary conditions like pure Dirichlet, pure Neumann and mixed boundary condition. The formulation considers it as an optimization problem and therefore proposes solutions for both constrained and unconstrained optimization. The results are compared with the analytical results computed using standard established methods and found to be in good agreement.