TOM TAT Hinh dgng dudng may Id mdt trdng nhUng chi tieu rdt quan trong cua chdt lUdng sdn phdm may mdc Cdc ddc trUng cd hoc vd cdu true vdi cd dnh hiidng ddng ki din chdt lUdng hinh dgng
Trang 1DU" BAO C H A T L U - O N G H I N H DANG OU-ONG MAY 301 UNG DUNG
MANG NORON NHAN TAG
FORECASTING ABOUT QUALITY OF SEAM SHAPE 301 WITH THE APPLICATION
OF ARTIFICIAL NEURON NETWORKS
NguyJn Thi Li\ LUu Hoang'
' Tnidng Dai hoc Bach Khoa Ha Noi ' Tmdng Dai hpc Sii pham Ky thuat Hiing Yen
TOM TAT
Hinh dgng dudng may Id mdt trdng nhUng chi tieu rdt quan trong cua chdt lUdng sdn phdm may mdc Cdc ddc trUng cd hoc vd cdu true vdi cd dnh hiidng ddng ki din chdt lUdng hinh dgng dUdng may
DU bdo chdt luong hinh dang dudng may Id can thiit doi vdi sdn xudt may cong nghie Bai bao nay gidi thieu kit qud nghien cilu dU bdo chdt lUdng hinh dgng dUdng may dUa tren cdc thdng Sd cud vai bang cac ilng dung mang ndron nhdn tao Cdc ddc trUng cd hgc vdi dUdc do trong viing dng suat thap trin he thong thiet iii Kawabata (KESF) Cdc ddc tning cdu true vdi dUdc tinh theo md hinh Peirce Dp nhdn dddngmay dUdc xdc dinh theo tiiu chudn 88B AATCC, dd dgt diidng may dddc xdc dinh theo tieu chudn 13936-1, do phdng min bi mat vai dUdc xdc dinh theo tiiu chudn 88C AATCC Mgng ndron nhdn tgo truyin thang 3 ldp, vdi gidi thudt ldn truyen ngUdc ldi dUdc dng dung de thiet ldp md hinh dii hdo chdt lU^ng hinh dgng cda dudng may 301 trin vdi bong Pe/Co vd polyester cd khdi Iddng trungbinh Kit qud kiim nghiem cho thdy md hinh da thiit lap cho phep dd bdo khd chinh xdc chdt lUdng hinh dgng dUdng may theo hddng sdi doc vd ngang Quan he tuyin tinh gida cdp dd dii bdo bdi hi thdng vd cdp do thiic tixdc dinh theo cdc tiiu chudn trin cd he so tddng quan ddng ke tren tap kiem thd vdi cd 6 chi tieu Id do nhdn, d6 dgt vd do phang min bi mat theo hddng sdi dgc vd ngang
Tii khoa; DU bdo chdt lUdng dddng may, dd bdo nhdn dddng may, mgng dd bdo
ABSTRACT
The shape ofthe seam is a very important criterion of quality garments The mechanical characteristics and fabric structure significantly affects the quality of seam shape Forecasting about quality of seam shape
is necessary for the production of industrial sewing This paper introduces research results predicted the quality of seam shape based on the parameters of the fabric with the application of artificial neuron networks The mechanical features of the fabric are measured less stress on the system equipment Kawabatit (KESF) The fabric structure is characterized by Peirce model Seam pucker defined by the standard AATCC 88B, the seam drift is defined as 13,936 to 1 standard, the smooth cloth surface is determined accordingto the standard AATCC 88C Feedforward neural networks, 3 layer, with error back-propagation algorithm is used to establish predictive models ofthe shape quality ofthe Cotton seam 301, Pe/ Co arui polyester with average volume Test results showed that the model was set up to allow fairly accurate prediction the quality
of seam shape following the direction of vertical and horizontal fibers Linear relationship between the lew predicted by the system and the actual level determined by the criteria above have significant correlatioit with the test file on the six targets is the wrinkle, the drift and the smooth fiber surface in vertical and horizontal directions
Key words: Forecasting seam quality, forecasting seam pucker, forecasting network
Trang 2NGHIEN Ctfu-TRAO D 6 |
1 Gl6l THl£u
Du bio chat lUpng dudng may trong qui
trinh san xuit cd vai tro rit quan trpng ddi vdi
vile dim bao nang suit vi chat lUpng san pham
bdi khdng the dgit mau vai, thii nghiem sin xuat
roi mdi quyet dinh lUa chpn Vi?c du bio chinh
xac cdn mang lai hilu qui kinh t l ding kl vi
toin dien d khia canh gdp phan sii dpng hieu
qui ngudn nguyin lilu qui tU ti^ nhien nhd giam
thieu sin pham xau, bi ngUdi mua tii chdi
Trong nhflng nam gan diy, nhieu nghiin
ciiu vl du bio chat lUdng cua dUdng may di
dupc thuc hiln G Stylios vi D.W Lloyd da
nghiin cUu dU bao nhan dUdng may dUa trin
tupng quan thUc nghiem cua nhan dUdng may
do bang tieu chuan 88B-AATCC vdi cac thdng
s6 vii xac dinh theo cie tieu chuin BS biln
ddi[18] Pier Giorgio Minazio d\£ bio dp nhan
dudng may diia trin cac die trUng cd hpe vii do
tren he thdng FAST [ 12] bing phUdng trinh thUc
nghidm Jelka Gersak thilt lip bieu dd dU bio
nhan dUdng may di£a tren eac thdng sd ed hpc
vii do trin hi thdng KESF [5] Daniela Zavec
Pavlinic da nghien citu khi nang dU bio chat
lupng hinh dang dUdng may iing dung phUdng
phip hpc miy vi giii thuit lan can gin nhat [15]
R H Gong vi Y Chen dU bio iing xii eiia vai [6],
Nguyen "Ihi Le vi cdng sU dU bao dp nhan dUdng
may Ung dung m^ng ndron nhin tao va he md
[8], [10] Cie nghien ciiu dU bio chat lUpng hinh
dang cua dudng may da dUpc thiic hien nhUng chi cung cip cac kit qui riing le, vi du, dp nhan,
dp phdng dudng may, mi chUa ed md hinh phu hdp du bao chat lUdng hinh dang eua dudng may trong qua trinh sin xuat sin phim may
mac Quan he giQa tie ddng cOa vii vi cie vin di
vl chat lupng hinh dang dudng may cd the xuat hien Igii rat khd md ta bang dinh lUpng toin hpc truyen thdng do cic tham sd li khdng tuyln tinh
vi sd bien chay ldn Vi vay, vile nghiin ciiu thilt lip md hinh dU bio chit lUpng hinh dang dUdng may vdi ket qui cy thi, chinh xic, gii thanh hpp
ly vi de sit dung li rat can thilt
Nghien ciiu niy, di dupe tien hinh nham muc dich thilt lip md hinh dU bao chit lUdng hinh dang ciia dUdng may 301 thdng qua dp nhan, dp phang min bl mat vii vi dp d^t dUdng may tren ed sd cac d|c trUng cau true vi cd hpc vii
2 PHUONG PHAP N G H I £ N C C U
- Vdt liiu vd dudng may:
22 loai vii thUdng pham nhe va trung binh ed thinh phin li bdng, Pe/Co vi polyester dupc li^a chpn cho nghien cUu niy Cic vii det thoi vdi kieu det vin dilm, vin cheo vi jaequard dupe sin xuat tai cdng ty det Pangrim, Dit 8/3, Viet Thing thUdng sU dung rpng rai de may cic sin pham sdmi nam nG, io viy
Bdng 2.1 Thdng so ky thudt cua vdi thuc nghiim
M5u
vii
1
2
3
y'4
1 5
' 6
7
8
9
10
11
Thanh phan
100% Cotton
100% Cotton
100% Cotton
Pe/Co 65/35
Pe/Co 85/15
Pe/Co 83/17
100% PES
100% PES
100% Cotton
100% Cotton
Pe/Co 60/40
Kieu det
Van di^m
Van diem
Jaequard
Van di^m
Van di^m
Van cheo
2/2
Van diem
Jaequard
Van dilm
Van dilm
Van dilm
KhSi luong
(gim')
115,00 138,95 122,20 98,45 96,30 106,68 108,47 135,20 89,11 107,10 107,9
Miu
vii
12
13
14
15
16
17
18
19
20
21
22
Thanh phSn Pe/Co 67/33 Pe/Co 65/35 100% Cotton 100%Cotton Pe/Co 85/15 100%Cotton 100%Cotton Pe/Co 65/35 Pe/Co 43/57 Pe/Co 45/55 100%Cotton
Kieu d|t Van diem Van dilm Van dilm Van diem Van diem Van diem Van cheo 2/2 Van dilm Van cheo 2/2 Vanchlo2/2 Van diem
Kh6i luong (g/m") 160,30 110,16 144,08 164,00 103,97 113,65 142,98 116,72 122,21 124,50 137,69
Trang 3NGHIEN ctfu-TRAO DOI
Loai ehi dupe lUa chpn de tao cac mau
dudng may l i chi spun polyester, chi sd Ne 80/3,
hudng xoan Z Dudng may dupc tien hanh nghien
eiiu l i dudng may ddn miii thoi 301 t h i n g (ISO
-4196,01.01.01) may tren mdt ldp vai, theo hUdng
spi dpc v i ngang Mau dUpc may tren mdt ldp vai
v i che dp edng nghe thich hdp nhU nhau nham
loai bd sU anh hUdng den chat lUdng dUdng may
eua cie y l u td khae khdng thudc nhdm cic thdng
sd cau tnic v i dac trUng cd hpc vai nhu sU trUdt
gifla hai ldp vai hay eac thdng so cdng nghe may
chat lupng hinh dang dUdng may dUpc d i n h gia d
mat t r i n ciia mau theo hUdng kim dam qua vai v i
dupc thUe hien sau khi may
- Xac dinh cac thdng so vai va chat lUdng
hinh dang dUdng may:
Mat dp vai (spi/inch) dupe xic dinh theo
tieu chuan ISO 7211/2-1984 Chi sd (Ne) dupe xic
dinh theo tieu chuan ASTM D 1059:1997 Khdi
lupng vii (g/m^) dUpc xac dinh theo tieu chuan
ISO 3801:1977 Cac thdng s6 cau true vai dupe
xac dinh theo md hinh vii Peirce [46] Trong do:
Dp chiia day dpc v i ngang:
•JN^I JNT,
Do chijta day cu
= k, +
28
Hau to 1 d i e trUng cho hudng spi dpc v i 2
d i e trUng eho hudng sdi ngang
n - sd spi/inch; k - dp chUa day; k^ - dp chfla diy
cua vai
Dudng may t r i n m i u vii thi nghiem dupc
thUc hien vdi ehi, kim va cac thdng sd cdng nghe
may thich hdp trin may may JUKI DDL-5550N
Chit lupng hinh dang dudng may dflpc xem xet
thdng qua dp nhan, dp dat va dp phang min cua
b l mat dudng may Dp nhan dUdng may dUdc x i c
dinh thdng qua cap dp SS theo tieu chuan
88B-2001AATCC Dp dat dUdng may dflpc xic dinh
theo tieu chuan 13936-1, dp phang min eua be mat
vii dupe xac dinh theo tieu chuan 88C AATCC tai
phdng thi nghiem ed ly cua Vien Det may trong
dilu kien theo tieu chuan ISO 139-1973
Cie d i e trUng cd hpc vai (keo gian, udn,
trUpt, nen, b l mat v i dp diy) dUpc do tren he thdng KESF, trong dieu k i l n tieu chuan, tai phdi^ thi nghiem V^t heu - Bd mdn Ky thu^t May, Trfldng dai hpc ky t h u i t Liberec, Cdng h o i See va Vien Cdng nghe Kyoto, N h i t Bin
- Mang ndron nhan t^o dfl bao chat lupng hinh dang dfldng may:
Trong nghien ciiu niy, md hinh mang ndron n h i n tao dfldc flng dung d l dfl bio chat Iflpng hinh dang dUdng may dUa tren cic dac trUng ed hpe v i thdng sd cau true vii 3 ^ die trUng
cd hpc do dflpc tren he thdng KESF v i thdng so cau true vii x i c dinh theo cdng thflc Peirce l i dau
v i o eua ANN Dp nhan dudng may, dp dat dudng may, dp phang min b l mat theo hfldng spi dpc va ngang eua vii l i 6 d i u ra, Mang dfl b i o dUpc thilt
k l thude loai truyen thang 3 ldp ed mpt ldp an, vdi
bp tdng liln ket dau vao:
Net = '^w^ *s,-\-b
Trong dd: s^ l i tin h i l u dUa vio v i trpng s6 tUPng flng w^, b la tham so ngUdng bias Ham kich hoat Sigmoid ddn cUc de xac dinh dau ra:
Hinh 2-1 Cdu trdc mgng ndron dU bdo chdt lUdng
hinh dgng dUdng may
Md hinh thiet lap flng dung giai thuat hpc lan truyln ngflpc ldi Dau v i o eua giii thuat la tap mau hpc {(x(m), d(m))} vdi m l i sd miu hgc, x(m) l i vectd d i u vio, d(m) la veetd dau ra mong mudn Q u i trinh hpc cua mang dfldc tien hanh nhfl sau:
• Khdi tao bd trpng sd ciia mang, h? s6 hpc r|, gia tri h i m sai sd cflc d ^ E
Trang 4NGHliN Ctfu - TRAO DPi
• V6i m mlu hpc ta c6:
+ Lan truyen tien cac tin hieu qua cac 16p
trong m ^ g theo cong thi3fc:
y, =f(Net) = f(2;;c,«,+6^)
tm hieu liic dSu de cap nhat gia tri cia bd trong s6
Hieu chlnh wkj:
Aw^, = n(di-z,)f(Net,)y, = n6k^ HiSuchmhCjr A<i = n5i Hieu chinh u,:
Hieu chinh h: bJ = q6 + Danh gii loi diu ra: Tinh toin gii tri sai
s6 ciia mang d6i v6i mSu hoc thil m sinh ra ham
N& E < E^ thi k a thiic qua trmh hoc
loi E vi cic tin hi^u loi d«i viSi ldp ra 0^ va Mp fa vi dua ra cic trong so cu6i cung Nfu E > E ^ thi
g xic lap lai gii tri E = 0, m = 1 vi khdi tao mot chu
•' • ky hoc mdi bang cich quay lai biidc dau tien
Qua trinh hpe dUpc kit thiic bang each gidi han sd bUde hpc, tflc li qui dinh sd bUdc lap tdi da eua giii thuit hpc vi gia tri gidi han ham sai sd E^^ Dl tang tdc dO hdi tu ciia mang nPron,
md hinh thilt lip sii dpng he sd mdmen vi he sd hpc thich nghi Sd ndron ldp in dupe xic dinh
bang phUdng phip thd - sai Diu vio dinh dang
+ Qua trinh lan truyen ngUpc loi: m ^ g theo kieu tep text vi dupe tien xfl ly de thudc [0; lan truyln cae loi ngUpc l^i vdi chilu lan truyen 1]
6=f'(Netj)X^ w,
Cac thdng so v ^ dd cua
cMt luqrne dudng may
(Mau hoc)
Cic th&ig sd vai
(Mlu kiim thu)
\
/
/
Tien xu ly dft
lifu dku vao -* Mang noron nhan t^o /
-*
/
Sai sd hoc
Giai m i di^
li#u diu ra
\
- • Cap do chSt lucmg hinh dang duong mav
Sai sd du bao
Hinh 2-3 Sd dS dU bdo chdt lUdng hinh dgng dUdng may dng dung mgng ndron nhdn tgo
Cie tham sd thiet kl cho qui trhih hpc
cua mang du bio:
[11];
+ BO trpng sd khdi tao cua m^ng
wy7e[-3/7^;3/7it~]
I^ li sd ndron tang trUdc
+ H$ sd hpc ban dau r\ =0,1; He sd
md-men khdi tao a = 0,9; ty 11 thay ddi cua gii tri ham sai so sau mot bUdc hpe khi ip dpng dilu chinh he sd hpc thich nghi li (; = 5% ; p = 0,5 + Gii tri him sai sd cUc dai E^^ = 0,2; Sd budc lap tdi da cfla giii thuat hpc li 5 000 Dau ra eua md hinh li 6 gia tri thupc [ 1,5].'
Trang 5NGHIEN ctfu - TRAO DOI
Do dat dudng may ddoc chuyen doi thanh 5 cap dp nhu bing 2.2.15 mau hgc (til vai 1 d& 15)
va 7 mlu kiem thd (til vai 17 den 22 tren bing 2.5) da dUOc thiet ke D6 dat diidng may xic dinh bing gii tri tuyet doi, dildc chuyen sang cac cap dp nhil bang 2.2
Bdng 2.2 Cdp dd tUdng itng ciia do dgt dUdng may
Cap dp
1
2
3
4
5
Do dat cua dudng may
< 0.2mm 0.2-0,5mm 0,5-0,7mm 0,7-lmm
^ 1mm
De so sinh ket qui dil bio va thiic ti, dimg phildng phip phi tham so vdi trac nghiem Wilcoxon
d miic tin cay 95% de kiem dinh gii thiet thong ke mpt phia
3 KET QUA VA BAN LUAN
K^t qua danh gii sai so cua 15 mau hpc sau khi mang hpi tu d chu ky hpc 4818:
Bang 3.1 Kit qud hudn luyen mgng dU bdo chdt lUdng hinh dang dudng may
Mau
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Dp nhan
diidng may
doc
Thiic
te
2,80
4,10
1,20
1,40
1,30
2,90
1,30
1,99
1,20
1,40
1,20
1,50
4,90
1,80
2,00
z
2,37
4,22
1,65
1,51
1,34
2,82
1,40
1,94
1,12
1,94
1,42
1,30
5,00
2,21
1,93
Dp nhan dudng may ngang Thuc
te 4,90 4,90 1,80 1,20 2,10 2,90 2,20 3,90 2,60 2,90 4,10 2,90 4,50 4,50 3,10
z
4,12 4,79 2,28 1,36 2,07 2,83 2,12 3,40 2,66 3,13 4,07 2,96 4,98 4,42 3,51
Dp dat dudng may doc Thuc
te 2,60 2,80 2,50 4,20 2,60 1,20 3,10 5,00 3,80 3,30 4,00 1,50 4,90 3,10 3,20
z,
2,99 3,37 2,72 4,32 3,15 1,56 3,13 4,99 3,59 2,38 3,40 1,78 4,35 3,18 2.94
Dp dat diidng may ngang Thuc
te 2,11 1,12 2,76 4,87 3,77 3,67 3,86 4,50 3,12 3,32 1,65 3,27 2,40 2,95 3,20
Z, 2,26 1,29 3,16 5,00 3,67 3,49 3,93 4,16 2,87 3,34 1,93 3,06 2,57 2,82 3,09
D6 phang min dpc Thuc
te 3,90 3,50 4,70 5,00 4,70 4,90 5,00 1,70 0,87 3,80 3,90 4,20 2,80 1,50 1,60
Zs 4,06 3,75 4,54 4,84 4,70 4,78 5,00 1.75 1,38 4,12 3,62 4,08 2,67 1,94 1,93
Dp phang min ngang Thuc
ti
2,60 2,60 3,20 4,70 4,50 4,90 5,00 2,30 1,20 4,20 4,70 4,80 3,40 2,80 3,40
Z,
326 2,82 3,90 5,00 4,19 4,71 5,00 2,47 1,26 4,72 4,77 5,00 3,88 3,42
_iM_
TAP CHI CO KHi VIET NAM
Trang 6NGHIEN CUfU-TRAOD6I
Kit qui huan luyen mang eho thiy gia tri
cua cic ndron ldp ra khi phu hpp vdi dang mau
diu ra mong mudn trin tap mau hpe (bang 3.1,
Mnh 3-1, 3-2, 3-3) Sai so ldn nhat eua cic cip dp
du bio bdi ANN tren eac mau hpc li 0,54 vdi dp
nhan dUdng may theo hUdng spi dpc vi 0,78 vdi
dudng may ngang; 0,92 vdi dp dat dUdng may dpe
vi 0,4 vdi dudng may ngang; 0,51 vdi dp phang
min dpe vi 0,74 vdi hUdng ngang khi so sanh vdi
cap dp thUc te Hmh 3-2 Do thi do dgt du bdo vd do dgt thUc ti cua
dudng may dgc vd ngang tren tap mdu hoe
&
Hinh 3-1 Do thi do nhdn dUbdovddo nhdn thiie te Hinh 3-3 DS thi do phdng mm dii bdo vd thiic te theo cua dudng may doc vd ngang trin tap mdu hoc hudng doc vd ngang tren tap mdu hgc
Bing 3.2 cho thay mang cung cip kit qui dU bio thdng nhit cao vdi cac cap dp thUe tl tren tip kiem thU Cae trUdng hpp diu du bao diing vdi sai lech ldn nhit li 0,37 vdi dp nhan dudng may dpc
va 0,83 vdi dUdng may ngang; 0,33 vdi dp dat dUdng may dpc va 0,59 vdi dudng may ngang; 0,58 vdi
dp phang min dpe vi 0,54 vdi hUdng ngang khi so sinh vdi cip dp thUe te Cie gii tri sai sd deu cd gia tri tuyet ddi nho hpn 1, cd thi chap nhin dupc vdi bii toan du bao chat lUpng hinh dang dUdng may
Bdng 3.2 Kit qud cdc ndron ddu ra vd ddthUctetren cdc mdu kiem thd
Mau
16
17
18
19
20
21
21
Do nhan
dirong may
dpc
Thuc
te
1,40
2.60
1,30
3.40
3.10
4.90
1,70
D u
bao
(Z,)
1.7
7
2.4
0
1,4
2
3.5
4
2.9
6
4.9
6
1,9
0
Do nhan duong may ngang Thuc
te 3.30 4.10 3.20 5.00
4.70 4.90 2,30
Dtr bao fZ7) 3,70 3.27 3,27 4.71 4.74 5.00 2.95
Do dat duong may doc Thuc
ta 2,80 3.00
2J0
3.50 4.50 3.50 2.70
Du bao (Zj) 3.13 2.86
2 81 3.68 4.35 3,79 2,79
Do dat duong may ngang Thuc
te
3.40 3.45 3.42 2.16 2.03 2.80 3,05
Du bao (Z.) 2.99 3,48 3.51 1.83 2.50 2,59 3.64
Dp phang min dpc Thirc
te
4.30 3.60 l.SO 2.60 4.10 3.80 3.50
Du bao (Zs) 4.27 3.57 2,38 2.63 4.31 3.62 3.74
Dp phang min ngang Thu
c t e 4.6
0 4,0
0 3,1
0 3,5
0 2,5
0 3.6
0 4.3
0
Du bao (Z6) 4.62 3.96 3.64 3,34 2.84 3.92 4.71
Trang 7NGHIEN CUU - TRAO DPi
5
h
b
.g2
|.1
1 '\
^ V
^ ^ V _ / _ ^
-.^^v
-X—
if
1 2 3 4 5 6 7
Hmh 3-6 Do thi do nhdn dU bdo vd do nhdn thUc te
cua dudng may doc vd ngang trin tap mdu kiem thd
ff4
£
" 3
P
« i
-A^
1 2 3 4 5 6 7
-^f-".'.•:
m a u kiem thCr
Hinh 3-7 Do thi do dgt dU bdo vd do dgt thUc ticua
dudng may dgc vd ngang trin tdp mdu hem thd
Hinh 3-8 DS thi do phdng min du hdo vd thUe ti
theo hudng doc vd ngang trin tap mdu kiim thii
^^
R" = QG71
Kinh 3-9 Dd thj tUdng quan gida cdp do thitc ti vd
cdp do du bdo
Mo hinh dn bao hien ttong nhan tren dudng may doc se xay ra khi may tren vai 16,17,
18, va 22 vdi ket qua dU bao d^t dU6i gia trj tdi han (do nhan dUdng may dpc dat dlldi 3) Vai 22
CO the xay ra hien tuong nhan tren dUdng may ngang Chl co vai 19 va 21 co dp nhan dUdng may
du bao bfli ANN dat gia tri cao h o n 3 (tren gia tri tdi ban), khi may van de nhan khong xuat hijn DUdng may theo hudng spi dpc cd th? bi djt trSn
v a 17,18 va 22; dUdng may theo hUdng spi ngang
CO the bi dat tren vai 19, 20 va 21 Be ijiat khong phang min vdi vai 17,18 va 19 Tuy nhien, cac sai s6 ldn nhat tren tap hpc la 0,92 vdi ndron ra Z3 (d6 dat dudng may dpc) va sai so ldn nhat gifla gia tri du bao va gia tri thUc te cua vai tren tap kiem thfl la 0,83 cung vdi ndron ra Z3 Dieu nay cho thay, cd the tang so mau vai huan luyen mang dl cai thien h d n nfla kha nang nhan dang mdt each
ro rang hdn, tang tinh khai quat hoa va dU bao chinh xac vdi noron dau ra Z3 Dieu nay cung la can thiet bdi tim dUOc tap mau hoc dil bao trum khong gian dau vao cua mau nhung khong qua ldn vdi 6 dau ra la thUc sU khd khan
Gia thiet thong ke mot phia dUdc ki4m dinh vdi trac nghiem Wilcoxon cho ket l u ^ ket qua cap dp dU bao cua dp nhan, dp dat va dp phang min dUdng may theo hudng spi dpc va ngang la thong nhat vdi cap dd thUc te NhU vay, ANN da thiet lap cd kha nang dU bao kha chinh xac cac cap dp nhan, dat dUdng may va dp phang min dudng may va cd the ling dung trong san xuat Ket qua dU bao se chinh xac va hieu qui hon nfla neu qua trinh huan luy^n mang dUdc thiJc hien vdi nhieu loai vai hdn
4 KET LUAN
Md hinh dU bao chat lUpng hinh dang dudng may d d n 301 dUa tren cac dac trUng cau
trtic va ca hpc vai Ung dung mang ndron nhan t?o
da dupc thiet lap va cho phep dU bao chat luang hinh dang ciia dUdng may tren vai det thoi b6ng, Pe/Co va polyester nhe
Mo hinh mang ndron truyen thang 3 lop
da thiet lap vdi 36 ndron ldp vao, 12 ndron ldp an
Trang 8N G H l t N ClJfU - TRAO Ddi
vi 6 ndron ldp ra, ham kich hoat Sigmoid don
ci^c, huin luyen bang giai thuit lan truyen ngUcfc
16i d i e ph^p du b i o cu thi d0 nhan, dd dat v i dd
phang min c£ia dUdng may dpc v i ngang Cic dp
di^ bao tren t i p kiem thii co tUong quan cao vdi
cap dd thUc te H^ so tUcfng quan dat dUpc gifla
dO nhan dU bao v i d0 n h i n thUc te l i R^ = 0.978
vdi dudng may dpc v i R^ = 0,785 vdi dudng may
ngang R^=0,916 vdi dUdng may dpc v i R^ = 0,671
vdi dudng may ngang trong tUdng quan gifla do
d?t du b i o v i do d^t thUc te R^ = 0,935 vdi hUdng
dpc vi R^ = 0,866 vdi hUdng ngang trong tUPng
quan gifla dp phang min du b i o va thUc te Qua
trinh h u i n luyen vdi 15 mau hpc v i k i l m nghidm
vdi 7 mau cho t h i y md hinh da thiet ke cho ket
qui dii b i o k h i chinh xic, tin cay v i thi hien sU
tien ich trong khi sfl dung Md hinh dU b i o cd
th^ ling dung de hd trt? cho vi^c Ivta chpn load vai
thich hpp vdi yeu cau chat lUdng hinh d a r ^ cua
dudng may trong s i n xuit cdng nghiep •
Ngiy nhin bai: 02/5/2012
Ngiy phin bi^n: 12/6/2013
NgUdi phan bi^n: TS Dao Anh I\ian,
Trudng Dai hpc Bich Khoa H i Npi
Tii li^u tham khao:
[ 1 ] Nguygn Thanh Thu^ Nguyen Hflu DUc, Tran Ngpc
H4 (2001), Tich hdp cic ky thu|t tinh toan mim va
mang noron trong xii 1^ dQ lieu, He md, mang nOron
vi ling dung, NXB Khoa hoc va Ky thuat
[2] AATCC Technical Manual (1994), "AATCC Test
Method 88B-1992" vol 69, pll5-128
[3] V Dobilaite', A Petrauskas (2002), "The effect of
fabric structure and mechanical Properties on seam
pudar" Materials Science, Vol 8 (No 4), p495-499
[4] LiMin Fu (1994), "Neural networks in computer
intelligence", NewYork, Mc Graw-Hill
[5] Jelka Gersak (2002), "A system for prediction of
garment appearance", Textile Asia Journal, April,
p31-34
[6] R H Gong; Y Chen (1999), "Predicting the
Per-formance of fabrics in garment manufacturing with
artificial neural networks" Textile Reseach J 69(7),
P477-482
[7] Le, N T, Trung, N.C,; Chien, L.H., The influence
of fabric structure and mechanical properties on seam pucker Journal of Science and Technology, Vi-etnam No.64/2008, pp 74-78
[8] Le, N T., Trung, N.C, Chien, L.H., Seam Pucker prediction based on fabric structure and mechanical properties using artificial neural network Journal of Science and Technology, Vietnam, No.65/2008, pp 65-69
[9] Nguyen Thi Le, Nguyen Tuan Duc, Ngo Chi Trung, Tran Dinh Khang, J^plication fuzzy logic on objec-tive evaluation of seam pucker Journal of Science and Technology, No 73,2009, p p l 11-117
[10] Le Nguyen Thi, Trung Ngo Chi, Cao Trinh Van, Seam pucker prediction based on fabric structure and mechanical properties using fuzzy system Journal of Science and Technology, No 78A, 2010, pp 132-137 [11] Martin T Hagan, Howard B Demuth Mark H Beale (1996), Neural Network Design, PWS Pub-lishing Company
[12], Pier Giorgio Minazio (1998), "The fabric press-ing performance and its role in predictpress-ing the appear-ance of men's wool suit jackets" International Journal
of clothing science and Technology, volume 10 (num-ber 3/4) pl82- 190
[13] A Mukhopadhyay (2002), "Application of arti-ficial neural networks in textiles", Textile Asia, April, p35-39
[14] Chang Kyu Park, Joo Young Na (2005), "A pro-cess for optimizing sewing conditions to minimize seam pucker using the Taguchi method" Textile Re-search Journal, 75(3), p245-252
[15] Daniela Zavec Pavhnic, Jelka Gersak (2006),
"Predicting seam appearance quality", Textile Research Journal, VoL 76(3), p235-242
[16] Daniela Zavec Pavlinic, Jelka Gersak (2004), "de-sign of the system for prediction of fabric behaviour
in garment manufacturing processes", International Journal of clothing science and Technology, volume
16 (number 1/2), p252-261
[17] Peirce, F T (1937)., "The Geomehy of Cloth Strucure", Journal ofthe Textile Institute, Vol 28, p45 [18] G Stylios, D.W Lloyd (1990) "Prediction of seam pucker in Garments by Measuring Fabric me-chanical Properties and Geometric Relationships", In-ternational Journal of Clothing Science and Technol-ogy; volume 2 (number 1), p6-15