18. Deep learning models for predicting enteric methane
emission from goats
Figure 1. Structure of back propagation neural networks for enteric methane emission from goats (model 1 and 2).
19. Deep learning models for predicting enteric methane
emission from goats
Figure 2. Relationships between the observed vs.
predicted enteric methane emission from goats
derived from the artificial neural networks (a; b)
and multiple regression (c; d) models.
20. Deep learning models for predicting enteric methane
emission from goats
Artificial neural networks Multiple regression
Model 1 Model 2 Model 3 Model 4
RMSPE1 0.06 0.10 0.09 0.13
r2 0.92 0.79 0.85 0.60
1RMSPE=root mean square predicted error.
Table 1. Root mean square predicted error and r-square of the ANN and multiple regression models
23. GNU ์ ์ธ๋ฌธ(1985; 1993 ๊ฐ์ )
ยง https://www.gnu.org/gnu/manifesto.ko.html
ยง Once GNU is written, everyone will be able to obtain good system software free, just like air.
ยง This means much more than just saving everyone the price of a Unix license. It means that much wasteful
duplication of system programming effort will be avoided. This effort can go instead into advancing the state of
the art.
ยง ์ผ๋จ GNU๊ฐ ๋ง๋ค์ด์ง๋ฉด, ๋ชจ๋ ์ฌ๋๋ค์ ํ๋ฅญํ ์์คํ ์ํํธ์จ์ด๋ฅผ ๊ณต๊ธฐ์ฒ๋ผ ๋ฌด๋ฃ๋ก ์ป์ ์ ์๊ฒ ๋
๊ฒ์ด๋ค.
ยง ์ด๊ฒ์ ๋ชจ๋ ์ฌ๋์ด ๋จ์ง ์ ๋์ค ์ฌ์ฉ์ ๋ํ ๋ผ์ด์ ์ค ๋น์ฉ์ ์ ์ฝํ ์ ์๋ค๋ ๊ฒ๋ณด๋ค ํจ์ฌ ๋ ๋ง์ ์๋ฏธ๋ฅผ
๊ฐ๋๋ค. ์ด๊ฒ์ ์์คํ ํ๋ก๊ทธ๋๋ฐ์ ์๋ชจ๋๋ ๋ถํ์ํ ๋ ธ๋ ฅ์ ์ค๋ณต์ ํผํ ์ ์๊ฒ ๋๋ค๋ ๊ฒ์ ์๋ฏธํ๋ฉฐ,
์ ์ฝ๋ ๋ ธ๋ ฅ์ ๊ธฐ์ ์์ค์ ํฅ์์ํค๋๋ฐ ์ฌ์ฉ๋ ์ ์์ ๊ฒ์ด๋ค.
24. ์คํ์์ค ๋ผ์ด์ผ์ค R
ยง R ์ธ์ด๋ GPL (General Public License)๋ฅผ ์ฑํ
ยง ์ฌ์ฉ์๋ค์ด ์ํํธ์จ์ด๋ฅผ ์์ ๋กญ๊ฒ ๊ณต์ ํ๊ณ ์์ ํ ์ ์์