{"title":"受生物学启发的信号处理","authors":"R. P. Johnson, L. Jain","doi":"10.1109/ETD.1995.403496","DOIUrl":null,"url":null,"abstract":"Recent work on the solution of some complex engineering problems has been directed towards techniques that rely on biological systems for inspiration. The reasons for looking at these approaches and some implications of the new technologies are discussed. Some technical aspects of neural networks and genetic approaches are considered.<<ETX>>","PeriodicalId":302763,"journal":{"name":"Proceedings Electronic Technology Directions to the Year 2000","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Biologically inspired signal processing\",\"authors\":\"R. P. Johnson, L. Jain\",\"doi\":\"10.1109/ETD.1995.403496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent work on the solution of some complex engineering problems has been directed towards techniques that rely on biological systems for inspiration. The reasons for looking at these approaches and some implications of the new technologies are discussed. Some technical aspects of neural networks and genetic approaches are considered.<<ETX>>\",\"PeriodicalId\":302763,\"journal\":{\"name\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETD.1995.403496\",\"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 Electronic Technology Directions to the Year 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETD.1995.403496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recent work on the solution of some complex engineering problems has been directed towards techniques that rely on biological systems for inspiration. The reasons for looking at these approaches and some implications of the new technologies are discussed. Some technical aspects of neural networks and genetic approaches are considered.<>
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