|
Home
|
E-Submission/Review
|
Sitemap
|
Editorial Office
|
목적 및 범위
Aims and Scope
저널 정보
About the Journal
편집위원회
Editorial Board
Open Access
편집국
Editorial Office
논문투고안내
Instructions for Authors
연구윤리규정
Research and Publication Ethics
필수 점검 사항
Checklist
논문투고사이트
E-Submission
저작권이양동의서
Copyright Transfer Agreement
발간호 검색
All issues
출판전 논문
Online First
현재 발행 호
Current Issue
많이 읽힌 논문
Most Read Articles
많이 인용된 논문
Most Cited Articles
개별 논문 검색
Korean J. Met. Mater.
Search
저자 색인
Author Index
Korean Journal of Metals and Materials
Search
> Browse Articles > Search
M
i
d
-
L
a
y
e
r
V
i
s
u
a
l
i
z
a
t
i
o
n
i
n
C
o
n
v
o
l
u
t
i
o
n
a
l
N
e
u
r
a
l
N
e
t
w
o
r
k
f
o
r
M
i
c
r
o
s
t
r
u
c
t
u
r
a
l
I
m
a
g
e
s
o
f
C
a
s
t
I
r
o
n
s
주철 미세조직 분석을 위한 합성곱 신경망에서의 중간층 시각화
H
y
u
n
-
J
i
L
e
e
,
I
n
-
K
y
u
H
w
a
n
g
,
S
a
n
g
-
J
u
n
J
e
o
n
g
,
I
n
-
S
u
n
g
C
h
o
,
H
e
e
-
S
o
o
K
i
m
이현지, 황인규, 정상준, 조인성, 김희수
Korean J. Met. Mater.
2021;59(6):430-438. Published online 2021 May 26
DOI:
https://doi.org/10.3365/KJMM.2021.59.6.430
Abstract
We attempted to classify the microstructural images of spheroidal graphite cast iron and grey cast iron using a convolutional neural network (CNN) model. The CNN comprised four combinations of convolution and pooling layers followed by two fully-connected layers. Numerous microscopic images of each cast iron were prepared to train and.....
More
Web of Science 5
Crossref 4
1
|
Journal Impact Factor 1.2