N. Loukeris, Y. Boutalis, S. Livanis, A. Arampatzis, L. Maltoudoglou
{"title":"混合乔丹埃尔曼网在投资组合选择","authors":"N. Loukeris, Y. Boutalis, S. Livanis, A. Arampatzis, L. Maltoudoglou","doi":"10.1109/IISA.2015.7387996","DOIUrl":null,"url":null,"abstract":"We examine the efficiency of various Jordan Elman models either in neural or in hybrid neuro-genetic networks form to conclude on an optimal model that will be valuable in portfolio selection. The Jordan and Elman neural networks on a hybrid form of genetic algorithms optimization, in a specific topology, outperformed all the other Jordan Elman models and the financial evaluation of corporations had excellent results.","PeriodicalId":433872,"journal":{"name":"2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Hybrid Jordan Elman nets in portfolio selection\",\"authors\":\"N. Loukeris, Y. Boutalis, S. Livanis, A. Arampatzis, L. Maltoudoglou\",\"doi\":\"10.1109/IISA.2015.7387996\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We examine the efficiency of various Jordan Elman models either in neural or in hybrid neuro-genetic networks form to conclude on an optimal model that will be valuable in portfolio selection. The Jordan and Elman neural networks on a hybrid form of genetic algorithms optimization, in a specific topology, outperformed all the other Jordan Elman models and the financial evaluation of corporations had excellent results.\",\"PeriodicalId\":433872,\"journal\":{\"name\":\"2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)\",\"volume\":\"181 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IISA.2015.7387996\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISA.2015.7387996","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We examine the efficiency of various Jordan Elman models either in neural or in hybrid neuro-genetic networks form to conclude on an optimal model that will be valuable in portfolio selection. The Jordan and Elman neural networks on a hybrid form of genetic algorithms optimization, in a specific topology, outperformed all the other Jordan Elman models and the financial evaluation of corporations had excellent results.
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