{"title":"基于神经网络的嵌入式软件开发方法","authors":"Ruimin Bao, Lanjuan Zhu","doi":"10.1109/ICMIC.2011.5973747","DOIUrl":null,"url":null,"abstract":"In parallel with the quick expansion of embedded devices come the rapid growth of embedded software. The commonly used software developing methods can't meet the fast growing demands of variable software when concerning user experience, cross-platforms, upgrade, hardware resources, etc. This paper proposes a new embedded software developing architecture based on the neural network organization and component principles. With the advantages of the network's dynamic weight adjusting and flexible self-learning structure, the approach can not only enable the software better adapt to the users' attributes, but also make the software be easily to extend and upgrade.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neural network based approach for developing embedded software\",\"authors\":\"Ruimin Bao, Lanjuan Zhu\",\"doi\":\"10.1109/ICMIC.2011.5973747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In parallel with the quick expansion of embedded devices come the rapid growth of embedded software. The commonly used software developing methods can't meet the fast growing demands of variable software when concerning user experience, cross-platforms, upgrade, hardware resources, etc. This paper proposes a new embedded software developing architecture based on the neural network organization and component principles. With the advantages of the network's dynamic weight adjusting and flexible self-learning structure, the approach can not only enable the software better adapt to the users' attributes, but also make the software be easily to extend and upgrade.\",\"PeriodicalId\":210380,\"journal\":{\"name\":\"Proceedings of 2011 International Conference on Modelling, Identification and Control\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2011 International Conference on Modelling, Identification and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMIC.2011.5973747\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2011 International Conference on Modelling, Identification and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMIC.2011.5973747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural network based approach for developing embedded software
In parallel with the quick expansion of embedded devices come the rapid growth of embedded software. The commonly used software developing methods can't meet the fast growing demands of variable software when concerning user experience, cross-platforms, upgrade, hardware resources, etc. This paper proposes a new embedded software developing architecture based on the neural network organization and component principles. With the advantages of the network's dynamic weight adjusting and flexible self-learning structure, the approach can not only enable the software better adapt to the users' attributes, but also make the software be easily to extend and upgrade.