เอกสารการประชุมวิชาการและนำเสนอผลงานวิจัย ครั้งที่ 21 / 2554 (Oral) - page 169

:5<=
E
p
9<
8 5 ; 3
11 =
D C
(kW-h), M
in
9<
9 5 <
4
: =
56C
J 1DA:6 (% dry-basis), M
f
9<
9 5 <
4
C
J 1
DA:6 (% dry-basis), W
d
9<
E
4
B 3
BC
1 (kg)
3.6 9<
63
: J 8 1B G
J 1; 3
11 cFFC
2.
:9 B AA2E
1 19 6> 6
B K
8 AA 5 19 6> 6 =
:B5 5 E
B 3
A :9 B A
A BC
1 c C
D C
AA2E
1 1
9 6> 6 K
8 AA6G
1 } 3
1 3
16 1 =
1
8B
1
AA2E
1 19 6> 6 J 1 A BC
1
(
Hii
et al
., 2009 and Tirawanichakul
et al
., 2009)
Name of model
Model equation
Newton
MR=exp(-kt)
Page
MR=exp(-kt
n
)
Henderson and Pabis
MR=a exp(-kt)
Logarithmic
MR=a exp(-kt)+c
Two term
MR=a exp(-k
1
t)+b exp(-k
2
t)
Logistic
MR=a/(1+exp(kt))
H ;2 9G
RMSE (Root mean square error)
%E (Percentage error) I?
=
19E
c C
2 5 5
=
=
N
1i
2
)
i pre,
MR
i exp,
(MR
N
1
RMSE
,:5<=
N 9<
2E
JC
5K
3
4
1B5
(3)
9 9=
?A
(Tirawanichakul
et al
., 2009)
1.
:9 B9 ; 1 C
3
J 1DA:6 G
B 3
1 A BC
1 C
:9 <=
1 Hunter Lab G
Color Flex G
3
6G
63
G
12
E
: A 3
A2 J 5 6 T (X=77.69, Y=82.57, Z=87.92) 6 55 6 T AA CIE (L*, a*
b*) H 9G
L*
19G
9 5 G
1
E
9G
a*
19G
1
:J
9G
b*
19G
:B <
1
E
4
:1 E
A
63
G
1 3 IE
4
1 V :8b
9G
:€ =
2.
:9 B C
9<
63
:9 B C
9<
63
J 1DA:6 B 3
1 A BC
1 =
6G
1 } E
AH
E
DA:6 B 3
1
A BC
15 G
D E
4
C
B K
5 90
±
3°C
:
15
2 3
4
E
4
E
I3
A E
4
C
3
=
1 E
4
B 3
J 1
63
G
1B 3
1 9<
63
9E
C
9<
63
6 5 5 (4)
100
d
m
f
m
on
%Rehydrati
× =
(4)
:5<=
m
d
9<
E
4
B 3
J 1DA:6 G
VG
A 9<
63
(g)
m
f
9<
E
4
B 3
J 1DA:6 B 3
1VG
A 9<
63
(g)
D
A> D
8 9? (
9 )
2 V
1 A BC
1DA:6 H D C
A BC
16G
1 }
9E
B 9G
3
6 G
9 5 <
4
=
:
6G
1 } 3
1 5 (5)
V
1 1 3
1 K
8 =
2
1...,159,160,161,162,163,164,165,166,167,168 170,171,172,173,174,175,176,177,178,179,...1102
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