Abstract
This paper describes the way to express the rules of selecting cells in logic synthesis and the acquisition of these rules based on neural networks. The trained neural network can be used to finish the selection of cells. Using neural networks in logic synthesis based on standard cell library can achieve the goal that the algorithm of technology mapping is independent of the cell library and the corresponding set of rules of selecting those cells in the library. The application of neural networks in the selection of cells can avoid the `combinational explosion'' of the search space.© (1991) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
