Last update: Mon Mar 13 02:22:45 MDT 2017
Top |
Symbols |
Numbers |
Math |
A |
B |
C |
D |
E |
F |
G |
H |
I |
J |
K |
L |
M |
N |
O |
P |
Q |
R |
S |
T |
U |
V |
W |
X |
Y |
Z
BibTeX entry
@Article{Mayer:1998:SCA,
author = "Helmut A. Mayer",
title = "Symbiotic Coevolution of Artificial Neural Networks
and Training Data Sets",
journal = j-LECT-NOTES-COMP-SCI,
volume = "1498",
pages = "511--??",
year = "1998",
CODEN = "LNCSD9",
ISSN = "0302-9743 (print), 1611-3349 (electronic)",
ISSN-L = "0302-9743",
bibdate = "Tue Feb 5 11:53:06 MST 2002",
bibsource = "http://link.springer-ny.com/link/service/series/0558/tocs/t1498.htm;
http://www.math.utah.edu/pub/tex/bib/lncs1998b.bib",
URL = "http://link.springer-ny.com/link/service/series/0558/bibs/1498/14980511.htm;
http://link.springer-ny.com/link/service/series/0558/papers/1498/14980511.pdf",
acknowledgement = ack-nhfb,
}
Related entries
- artificial,
1468(0)22,
1478(0)13,
1484(0)274,
1502(0)15,
1502(0)27,
1504(0)17,
1531(0)530,
1537(0)83,
1537(0)187,
1537(0)268,
1544(0)1,
1544(0)16,
1544(0)29,
1544(0)45,
1544(0)58,
1544(0)74,
1544(0)88,
1544(0)105,
1544(0)122,
1544(0)137,
1544(0)152,
1544(0)166,
1544(0)183
- Coevolution,
1498(0)530
- networks,
1451(0)765,
1451(0)785,
1452(0)274,
1452(0)612,
1454(0)295,
1455(0)177,
1457(0)332,
1459(0)143,
1460(0)816,
1461(0)283,
1462(0)186,
1466(0)597,
1468(0)71,
1469(0)1,
1469(0)63,
1469(0)105,
1469(0)267,
1470(0)35,
1470(0)80,
1470(0)405,
1470(0)967,
1470(0)970,
1470(0)993,
1470(0)1057,
1470(0)1076,
1477(0)112,
1477(0)112-1,
1477(0)273,
1480(0)88,
1480(0)353,
1483(0)149,
1483(0)207,
1484(0)195,
1485(0)295,
1492(0)331,
1498(0)593,
1498(0)593-1,
1498(0)633,
1498(0)673,
1498(0)673-1,
1499(0)75,
1499(0)273,
1502(0)167,
1502(0)179,
1505(0)143,
1508(0)69,
1508(0)98,
1515(0)121,
1517(0)78,
1517(0)242,
1517(0)272,
1521(0)167,
1524(0)275,
1524(0)373,
1526(0)223,
1528(0)163,
1531(0)399,
1531(0)411,
1532(0)342,
1533(0)179,
1533(0)209,
1537(0)83,
1541(0)537,
1543(0)304,
1545(0)95
- neural,
1451(0)329,
1451(0)349,
1451(0)492,
1451(0)765,
1451(0)775,
1451(0)785,
1454(0)295,
1460(0)816,
1468(0)227,
1478(0)287,
1480(0)353,
1484(0)385,
1498(0)593,
1498(0)593-1,
1498(0)623,
1498(0)633,
1501(0)375,
1502(0)167,
1502(0)179,
1515(0)121,
1524(0)93,
1524(0)113,
1524(0)193,
1524(0)207,
1524(0)275,
1524(0)299,
1524(0)347,
1524(0)373,
1531(0)341,
1531(0)353,
1532(0)342,
1537(0)83,
1545(0)95,
1547(0)246
- set,
1451(0)667,
1451(0)867,
1451(0)875,
1453(0)375,
1460(0)841,
1480(0)317,
1480(0)389,
1490(0)89,
1496(0)439,
1501(0)220,
1502(0)227,
1510(0)352,
1510(0)441,
1510(0)468,
1522(0)451,
1530(0)54,
1531(0)134,
1533(0)29,
1538(0)113
- Training,
1452(0)16,
1452(0)26,
1452(0)36,
1452(0)484,
1452(0)544,
1452(0)584,
1452(0)604-1,
1452(0)609,
1452(0)620,
1498(0)633,
1531(0)12