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• W2157829433 abstract "Proposes a generic method for finding non-propagating cellular neural network (CNN) templates that can be implemented reliably on a given CNN Universal Machine chip. The method has two main components: (i) adaptive optimization of templates based on measurements of actual CNN chips, (ii) simplification and decomposition of Boolean operators into a sequence of simpler ones that work correctly and more robustly on a given chip. Examples are presented using two stored-program CNNUM chips to demonstrate the effectiveness of the proposed method, whose advantages and limitations are also discussed." @default.
• W2157829433 created "2016-06-24" @default.
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• W2157829433 date "2002-11-27" @default.
• W2157829433 modified "2023-09-27" @default.
• W2157829433 title "Fault tolerant CNN template design and optimization based on chip measurements" @default.
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• W2157829433 doi "https://doi.org/10.1109/cnna.1998.685415" @default.
• W2157829433 hasPublicationYear "2002" @default.
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