{"title":"An analog local cluster neural net for a 3 V supply","authors":"T. Korner, J. Sitte, U. Ruckert","doi":"10.1109/MN.1999.758877","DOIUrl":null,"url":null,"abstract":"The local cluster neural net (LC net) is a feedfoward net suitable for continuous function approximation and discrete classification tasks. All operations of the LC net can be realized in analog circuits. Therefore we implemented the LC net in analog VLSI hardware for a 3 V power supply. Main applications of the LC net are control tasks in autonomous systems that can be battery powered. In this paper we describe the CMOS VLSI realization and present the results of the comprehensive test measurement for characterising the performance of the implementation.","PeriodicalId":191273,"journal":{"name":"Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MN.1999.758877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The local cluster neural net (LC net) is a feedfoward net suitable for continuous function approximation and discrete classification tasks. All operations of the LC net can be realized in analog circuits. Therefore we implemented the LC net in analog VLSI hardware for a 3 V power supply. Main applications of the LC net are control tasks in autonomous systems that can be battery powered. In this paper we describe the CMOS VLSI realization and present the results of the comprehensive test measurement for characterising the performance of the implementation.