{"title":"利用人工智能技术实现MMIC电路的自动化布局","authors":"J. Robinson, David Linton","doi":"10.1109/EUMA.1994.337500","DOIUrl":null,"url":null,"abstract":"A novel Knowledge Based System for MMIC layout is presented, GALA (Gallium Arsenide Layout Assistant), which uses a recognized artificial intelligence technique called the blackboard architecture to place and route component cells[1][2]. The system has the overall aim of reducing the amount of GaAs real estate usage thereby Increasing yield and reducing cost. It is the third stage in a project developed at The Queen's University of Belfast Swhich aims to fully automate the design and layout of a MMIC [3][4][5][6], and is the final component within the MADE framework (MMIC Automated Design Environment (see Figure 1).","PeriodicalId":440371,"journal":{"name":"1994 24th European Microwave Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automating the Layout of MMIC Circuits Using Artificial Intelligence Techniques\",\"authors\":\"J. Robinson, David Linton\",\"doi\":\"10.1109/EUMA.1994.337500\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel Knowledge Based System for MMIC layout is presented, GALA (Gallium Arsenide Layout Assistant), which uses a recognized artificial intelligence technique called the blackboard architecture to place and route component cells[1][2]. The system has the overall aim of reducing the amount of GaAs real estate usage thereby Increasing yield and reducing cost. It is the third stage in a project developed at The Queen's University of Belfast Swhich aims to fully automate the design and layout of a MMIC [3][4][5][6], and is the final component within the MADE framework (MMIC Automated Design Environment (see Figure 1).\",\"PeriodicalId\":440371,\"journal\":{\"name\":\"1994 24th European Microwave Conference\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1994 24th European Microwave Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EUMA.1994.337500\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1994 24th European Microwave Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUMA.1994.337500","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automating the Layout of MMIC Circuits Using Artificial Intelligence Techniques
A novel Knowledge Based System for MMIC layout is presented, GALA (Gallium Arsenide Layout Assistant), which uses a recognized artificial intelligence technique called the blackboard architecture to place and route component cells[1][2]. The system has the overall aim of reducing the amount of GaAs real estate usage thereby Increasing yield and reducing cost. It is the third stage in a project developed at The Queen's University of Belfast Swhich aims to fully automate the design and layout of a MMIC [3][4][5][6], and is the final component within the MADE framework (MMIC Automated Design Environment (see Figure 1).