{"title":"人工神经元结构生成的有效方法分析","authors":"Stefan Badura","doi":"10.1109/ISSPIT.2011.6151546","DOIUrl":null,"url":null,"abstract":"In this paper a system for advanced structure generation is introduced. Our method uses a Lindenmayer's system for this purpose. Using this approach leads to an effective structure generation and next its utilization in neural network design. For system evaluation, a unique technique was chosen - a similarity to existing neural structures is observed.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis for effective approaches towards generating of artificial neuron structures\",\"authors\":\"Stefan Badura\",\"doi\":\"10.1109/ISSPIT.2011.6151546\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a system for advanced structure generation is introduced. Our method uses a Lindenmayer's system for this purpose. Using this approach leads to an effective structure generation and next its utilization in neural network design. For system evaluation, a unique technique was chosen - a similarity to existing neural structures is observed.\",\"PeriodicalId\":288042,\"journal\":{\"name\":\"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)\",\"volume\":\"142 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPIT.2011.6151546\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2011.6151546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis for effective approaches towards generating of artificial neuron structures
In this paper a system for advanced structure generation is introduced. Our method uses a Lindenmayer's system for this purpose. Using this approach leads to an effective structure generation and next its utilization in neural network design. For system evaluation, a unique technique was chosen - a similarity to existing neural structures is observed.