{"title":"神经网络层的桥接","authors":"D. Kopčanski, S. Odri, D. Petrovacki","doi":"10.1109/NEUREL.2002.1057959","DOIUrl":null,"url":null,"abstract":"This paper involves the evolution of neural networks based on parameters gained from a backpropagation training algorithm. The bridging of layers of neural networks is suggested as a new process in this evolutionary process, in addition to cell division and degeneration of synapses and cells. The process of bridging the layers was performed in three different ways in order to find an appropriate algorithm.","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":"0","resultStr":"{\"title\":\"Bridging of layers of neural networks\",\"authors\":\"D. Kopčanski, S. Odri, D. Petrovacki\",\"doi\":\"10.1109/NEUREL.2002.1057959\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper involves the evolution of neural networks based on parameters gained from a backpropagation training algorithm. The bridging of layers of neural networks is suggested as a new process in this evolutionary process, in addition to cell division and degeneration of synapses and cells. The process of bridging the layers was performed in three different ways in order to find an appropriate algorithm.\",\"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\":\"0\",\"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.2002.1057959\",\"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.2002.1057959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper involves the evolution of neural networks based on parameters gained from a backpropagation training algorithm. The bridging of layers of neural networks is suggested as a new process in this evolutionary process, in addition to cell division and degeneration of synapses and cells. The process of bridging the layers was performed in three different ways in order to find an appropriate algorithm.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
