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Interface for Intelligence Computing Design and Option of Technical Systems
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作者 Javanshir Mammadov Tarana Tagiyeva +1 位作者 Akhmedova Sveta Aliyeva Arzu 《Intelligent Control and Automation》 2015年第4期289-294,共6页
As a result of analysis of the existent methods and tools of computer aided design of the technical systems of many industrial areas, the primary purpose of the article that consists in the decision of different proje... As a result of analysis of the existent methods and tools of computer aided design of the technical systems of many industrial areas, the primary purpose of the article that consists in the decision of different project problems within the framework of one programmatic system with the use of comfortable programmatic interface is certain. Architecture of the program interface for computer designing and option of technical systems of different industrial areas on the basis of stage-by-stage automated designing principles with using programmatic and informative supports is worked out. In the article, the problem of computer designing, searching and option of elements of manipulator for flexible manufacture module is considered. As a method of logical simulation of the problem, production model of designing procedures of the program interface and intelligence option of a manipulator, its technical parameters are developed. On the basis of algorithmic scheme of searching, the option of a manipulator from data base is worked out. 展开更多
关键词 COMPUTER-AIDED DESIGN DESIGN STAGES PRODUCTION Model programmatic INTERFACE
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An Efficient Method for Analog Design Optimization With Layout Generators
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作者 SANTERI PORRASMAA VEETI LAHTINEN +3 位作者 ALTTI HEIKKINEN DHANASHREE BOOPATHY ALEKSI TAMMINEN MARKO KOSUNEN 《Integrated Circuits and Systems》 2025年第4期217-232,共16页
This paper describes an efficient fully programmatic and automated post-layout simulationbased optimization method for analog designs.The proposed methodology is developed to achieve the targeted performance objective... This paper describes an efficient fully programmatic and automated post-layout simulationbased optimization method for analog designs.The proposed methodology is developed to achieve the targeted performance objectives efficiently,that is,with reduced number of iterations and less simulation time,compared to currently predominantly manual design procedures.The efficiency of method is achieved through utilization of expert knowledge at every step of the proposed design process.The expert knowledge is supplied by formalizing the expression of design problems as nested functions,partitioning the design problem in both electrical and physical domains and by selection of starting point for the optimization.The circuit dependencies captured by the nested functions are augmented with backpropagation,similarly as in machinelearning.The proposed methodology provides a fully automated procedure for analog designs that incorporates extracted layout parasitic effects in all phases of the design process without human-in-the-loop.The effectiveness of the methodology is demonstrated with four example circuits:an inverter,a true single-phase clock flip-flop,a source follower,and a bootstrapped sampling switch.The variety of examples represent increasingly complex systems with increasing number of parameters,demonstrating capability of providing analog building blocks from specification to physical implementation without designer intervention. 展开更多
关键词 Analog circuit generators Berkeley analog generator machine learning procedural optimization programmatic circuit design TheSyDeKick
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