{"title":"正弦函数对反向传播学习的影响","authors":"B. Karimi, K. Ashenayi, T. Baradaran-Seyed","doi":"10.1109/SIMSYM.1992.227582","DOIUrl":null,"url":null,"abstract":"The backpropagation (BP) method is modified by replacing the sigmoid function by a sinusoidal function. The leaving law is also modified. The modified procedure shows great improvement over the original BP in terms of the number of neurons and the learning time.<<ETX>>","PeriodicalId":215380,"journal":{"name":"Proceedings. 25th Annual Simulation Symposium","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effect of sinusoidal function on backpropagation learning\",\"authors\":\"B. Karimi, K. Ashenayi, T. Baradaran-Seyed\",\"doi\":\"10.1109/SIMSYM.1992.227582\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The backpropagation (BP) method is modified by replacing the sigmoid function by a sinusoidal function. The leaving law is also modified. The modified procedure shows great improvement over the original BP in terms of the number of neurons and the learning time.<<ETX>>\",\"PeriodicalId\":215380,\"journal\":{\"name\":\"Proceedings. 25th Annual Simulation Symposium\",\"volume\":\"113 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 25th Annual Simulation Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIMSYM.1992.227582\",\"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. 25th Annual Simulation Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIMSYM.1992.227582","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effect of sinusoidal function on backpropagation learning
The backpropagation (BP) method is modified by replacing the sigmoid function by a sinusoidal function. The leaving law is also modified. The modified procedure shows great improvement over the original BP in terms of the number of neurons and the learning time.<>
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