Technology Adoption in Input-Output Networks

Multiple Input , Multiple Output Technology Accelerates Wired Home Networks

Non-Markovian quantum input-output networks

Jing Zhang,1,2,3,4,* Yu-xi Liu,2,3,5 Re-Bing Wu,1,2,3 Kurt Jacobs,3,6 and Franco Nori3,7 1Department of Automation, Tsinghua University, Beijing 100084, China 2Center for Quantum Information Science and Technology, TNList, Beijing 100084, China 3Advanced Science Institute, RIKEN, Wako-shi, Saitama, 351-0198, Japan 4State Key Laboratory of Robotics, Shenyang Institute of Automation Chinese Acade...

Input output stability of recurrent neural networks

i Foreword Recurrent neural networks are an attractive tool for both practical applications and for the modeling of biological nerve nets, but their successful application requires an understanding of their dynamical properties, in particular, their stability. The present work provides an in-depth study of this challenging issue and contributes a number of new results that are also important fo...

Understanding Farmers’ Technology Adoption Decisions: Input Complementarity and Heterogeneity

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sources of output growth in iranian agriculture:an input-output analysis

the sources of output growth of iranian agriculture over the years 1986-2001 has been examined, using a decomposition method within the input-output (io) framework. the three comparable io tables of 1986, 1991, and 2001 have been employed as the main data sources. output changes from a demand side perspective, and decomposition of the growth of output into components attributable to consumption...