A Reversible Evolvable Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building - researchr publication

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Hugo de Garis, Jonathan Dinerstein, Ravichandra Sriram. A Reversible Evolvable Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building. In Erick Cantú-Paz, editor, Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), New York, USA, 9-13 July 2002. pages 83-90, AAAI, 2002.

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