{"title":"使用人工神经网络进行模拟和混合模式行为模拟的电子建模","authors":"V. Litovski, M. Andrejević","doi":"10.1109/NEUREL.2002.1057979","DOIUrl":null,"url":null,"abstract":"We describe the state of the art and some preliminary results obtained by application of artificial neural networks (ANN) to modelling of dynamic non-linear electronic circuits. ANNs are used for application of the black-box modelling concept in the time domain. The ANN's topology, the testing signal used for excitation, together with the complexity of the ANN is considered. Examples of Pion-linear dynamic modelling are given encompassing a wide variety of modelling problems. Verification of the concept is performed by verifying the ability of the model to generalize i.e. to create acceptable responses to excitations not used during training. Implementation of these models within a behavioural simulator is exemplified.","PeriodicalId":347066,"journal":{"name":"6th Seminar on Neural Network Applications in Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Electronic modelling using ANNs for analogue and mixed-mode behavioural simulation\",\"authors\":\"V. Litovski, M. Andrejević\",\"doi\":\"10.1109/NEUREL.2002.1057979\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe the state of the art and some preliminary results obtained by application of artificial neural networks (ANN) to modelling of dynamic non-linear electronic circuits. ANNs are used for application of the black-box modelling concept in the time domain. The ANN's topology, the testing signal used for excitation, together with the complexity of the ANN is considered. Examples of Pion-linear dynamic modelling are given encompassing a wide variety of modelling problems. Verification of the concept is performed by verifying the ability of the model to generalize i.e. to create acceptable responses to excitations not used during training. Implementation of these models within a behavioural simulator is exemplified.\",\"PeriodicalId\":347066,\"journal\":{\"name\":\"6th Seminar on Neural Network Applications in Electrical Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th Seminar on Neural Network Applications in Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEUREL.2002.1057979\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th Seminar on Neural Network Applications in Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEUREL.2002.1057979","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electronic modelling using ANNs for analogue and mixed-mode behavioural simulation
We describe the state of the art and some preliminary results obtained by application of artificial neural networks (ANN) to modelling of dynamic non-linear electronic circuits. ANNs are used for application of the black-box modelling concept in the time domain. The ANN's topology, the testing signal used for excitation, together with the complexity of the ANN is considered. Examples of Pion-linear dynamic modelling are given encompassing a wide variety of modelling problems. Verification of the concept is performed by verifying the ability of the model to generalize i.e. to create acceptable responses to excitations not used during training. Implementation of these models within a behavioural simulator is exemplified.