{"title":"利用神经网络的自适应和优化技术预测股票市场行情","authors":"Nikitas Goumatianos","doi":"10.2139/ssrn.1947060","DOIUrl":null,"url":null,"abstract":"This paper presents important concepts of using properly technical analysis as input system in neural networks to predict stock market.","PeriodicalId":114865,"journal":{"name":"ERN: Neural Networks & Related Topics (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Adaptation and Optimization Techniques in Neural Networks to Predict Stock Market Exchange\",\"authors\":\"Nikitas Goumatianos\",\"doi\":\"10.2139/ssrn.1947060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents important concepts of using properly technical analysis as input system in neural networks to predict stock market.\",\"PeriodicalId\":114865,\"journal\":{\"name\":\"ERN: Neural Networks & Related Topics (Topic)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Neural Networks & Related Topics (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1947060\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Neural Networks & Related Topics (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1947060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}