{"title":"神经工程实用自适应算法","authors":"L. Kirkland, J. D. Wiederholt","doi":"10.1109/AUTEST.1994.381547","DOIUrl":null,"url":null,"abstract":"The neural engineering utility with adaptive algorithms (NEUWAA) is a machine-based intelligence system for automatic test equipment, which integrates various technologies in an adaptive fault-detection environment. Computer enhancements and mathematical algorithms allow for the use of man-machine and intelligent applications. The human/machine interface optimizes the test environment by providing state-of-the-art adaptive algorithms to streamline test sequences and diagnostics. NEUWAA employs state-of-the-art diagnostics methodologies coupled with self-organizing evolution to provide an efficient test environment at any level. Highlighted visual images with dialogue of the unit under test provide interactive fault-isolation including guided-probe sequences to streamline fault/diagnosis. The system is completely interoperable with all other standard software packages. This paper outlines the neural engineering utility with adaptive algorithms system including its various characteristics and the techniques involved in its creation.<<ETX>>","PeriodicalId":308840,"journal":{"name":"Proceedings of AUTOTESTCON '94","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neural engineering utility with adaptive algorithms\",\"authors\":\"L. Kirkland, J. D. Wiederholt\",\"doi\":\"10.1109/AUTEST.1994.381547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The neural engineering utility with adaptive algorithms (NEUWAA) is a machine-based intelligence system for automatic test equipment, which integrates various technologies in an adaptive fault-detection environment. Computer enhancements and mathematical algorithms allow for the use of man-machine and intelligent applications. The human/machine interface optimizes the test environment by providing state-of-the-art adaptive algorithms to streamline test sequences and diagnostics. NEUWAA employs state-of-the-art diagnostics methodologies coupled with self-organizing evolution to provide an efficient test environment at any level. Highlighted visual images with dialogue of the unit under test provide interactive fault-isolation including guided-probe sequences to streamline fault/diagnosis. The system is completely interoperable with all other standard software packages. This paper outlines the neural engineering utility with adaptive algorithms system including its various characteristics and the techniques involved in its creation.<<ETX>>\",\"PeriodicalId\":308840,\"journal\":{\"name\":\"Proceedings of AUTOTESTCON '94\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of AUTOTESTCON '94\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AUTEST.1994.381547\",\"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 of AUTOTESTCON '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUTEST.1994.381547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural engineering utility with adaptive algorithms
The neural engineering utility with adaptive algorithms (NEUWAA) is a machine-based intelligence system for automatic test equipment, which integrates various technologies in an adaptive fault-detection environment. Computer enhancements and mathematical algorithms allow for the use of man-machine and intelligent applications. The human/machine interface optimizes the test environment by providing state-of-the-art adaptive algorithms to streamline test sequences and diagnostics. NEUWAA employs state-of-the-art diagnostics methodologies coupled with self-organizing evolution to provide an efficient test environment at any level. Highlighted visual images with dialogue of the unit under test provide interactive fault-isolation including guided-probe sequences to streamline fault/diagnosis. The system is completely interoperable with all other standard software packages. This paper outlines the neural engineering utility with adaptive algorithms system including its various characteristics and the techniques involved in its creation.<>