Contribution rate measurement of scientific and technological progress based on FPGA and convolutional neural network-Reference-Cited by-同舟云学术

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Contribution rate measurement of scientific and technological progress based on FPGA and convolutional neural network

Published:2021-02 Issue: Volume:80 Page:103585
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Sun Yuhong,Liu Jintao

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference21 articles.

1. Technology measurement: the functional approach;Major;Technol. Forecast. Soc. Change,1985

2. Empirical measures of technological change at the sectoral level;Ayres;Technol. Forecast. Soc. Change,1985

3. Patterns of Technological FPGA;Sahal,1981

4. Technological guidepost and FPGA avenues;Sahal;Res. Policy,1985

5. Technological paradigms and technological trajectories. A suggests an interpretation of the determinants and directions of technical change;Dosi;Res. Policy,1982

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