CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Filters
1 research outputs found
Prediction of porosity in crystalline rocks using artificial neural networks: An example from the Chinese Continental Scientific Drilling Main hole
Author
A. Bartetzko
A. Bhatt
+68 more
A. Bhatt
A. Reynaldi
Ahmed Amara Konaté
C. Bishop
D. Benaouda
D. Moos
D.C. Montgomery
E. Moritz
E.L. Pratsone
E.L. Tullborg
F.L. Liu
G. Lopez
G. Zimmermann
G.A.F. Seber
H. Kern
H. White
H.B. Celikoglu
H.B. Helle
H.C. Chang
H.P. Pan
H.P. Pan
H.P. Pan
Heping Pan
J. Liu
J. Moody
J. Park
J. Shao
J.L. Baldwin
K. Baddari
K. Hornik
K. Levenberg
L.S. Aiken
M. Baan Van der
M. Luo
M. Luo
M. Zoveidavianpoor
M.M. Poulton
M.T. Hagan
N. Benoudjit
Nasir Khan
O. Serra
P.F. Xu
P.I. Good
P.K. Harvey
Q. Liu
Q. Wang
R. Pechnig
R. Pechnig
R.J. May
R.N. Anderson
S. Dreiseitl
S. Haykin
S. Maiti
S. Maiti
S. Maiti
S. Xu
S.C. Ji
S.C. Ji
S.M. Luthi
S.S. Sun
T.W. Anderson
V.M.R. Muggeo
W.C. Yang
X.G. Ou
X.H. Meng
X.Y. Niu
Yao Yevenyo Ziggah
Z.Q. Xu
Publication venue
'Springer Science and Business Media LLC'
Publication date
Field of study
No full text
Crossref