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在“
Elsevier电子期刊
”中,
命中:
12,949
条,耗时:0.0729924 秒
在所有数据库中总计命中:
76,073
条
1.
A modular architecture for transparent computation in recurrent
neural
network
s
作者:
Giovanni S. Carmantini
a
;
giovanni.carmantini@gmail.com
;
Peter beim Graben
b
;
peter.beim.graben@hu-berlin.de
;
Mathieu Desroches
c
;
mathieu.desroches@inria.fr
;
Serafim Rodrigues
a
;
serafim.rodrigues@plymouth.ac.uk
关键词:
Automata Theory
;
Recurrent
artificial
neural
network
s
;
Representation theory
;
Nonlinear dynamical automata
;
Neural
symbolic computation
;
Versatile shift
刊名:
Neural
Network
s
出版年:2017
2.
An investigation of the suitability of
Artificial
Neural
Network
s for the prediction of core and local skin temperatures when trained with a large and gender-balanced database
作者:
K. Michael
a
;
M.D.P. Garcia-Souto
b
;
p.garciasouto@ucl.ac.uk
;
P. Dabnichki
c
;
peter.dabnichki@rmit.edu.au
关键词:
ADALINE
;
adaptive linear element
;
AI
;
artificial
intelligence
;
ANN/NN
;
Artificial
neural
network
(s)
;
BMI
;
body mass index (body mass of the subject divided by the square of the height in m
;
i.e. kg/m2)
;
Epoch
;
a full data cycle
;
i.e. each time the
network
is presented with a new training pattern
;
FNN
;
fuzzy
neural
network
(s)
;
Logsig
;
the logistic sigmoid function
;
MSE
;
mean squared error
;
Nodes
;
the interconnections between hidden layers in the
neural
network
(equivalent to neuron connections)
刊名:Applied Soft Computing
出版年:2017
3.
Application of
artificial
neural
network
s to the forecasting of dissolved oxygen content in the Hungarian section of the river Danube
作者:
Anita Csá
;
brá
;
gi
a
;
csabragi.anita@gmail.com
;
csabragi.anita@gek.szie.hu
;
Sá
;
ndor Molná
;
r
a
;
molnar.sandor@gek.szie.hu
;
Pé
;
ter Tanos
a
;
tanospeter@gmail.com
;
Jó
;
zsef Ková
;
cs
b
;
kevesolt@gmail.com
关键词:
ANN
;
Artificial
Neural
Network
;
CA
;
CB
;
CC
;
CD
;
Combination A
;
B
;
C
;
D
;
DO
;
dissolved oxygen
;
EC
;
electrical conductivity
;
GRNN
;
General Regression
Neural
Network
;
hydro PP
;
hydro power plant
;
HNPP
;
Hungarian Nuclear Power Plant
;
IA
;
Willmott&rsquo
;
s index of agreement
;
MAE
;
mean absolute error
;
MLPNN
;
Multilayer Perceptron
Neural
Network
;
MLR
;
Multivariate Linear Regression
;
R2
;
coefficient of determination
;
RBFNN
;
Radial Basis Function
Neural
Network
;
RF
;
runoff
;
rkm
;
river kilometres
;
RMSE
;
r
刊名:Ecological Engineering
出版年:2017
4.
Estimating photovoltaic power generation: Performance analysis of
artificial
neural
network
s, Support Vector Machine and Kalman filter
作者:
Raul V.A. Monteiro
a
;
raulvitoramonteiro@gmail.com
;
rauldvm@terra.com.br
;
Geraldo C. Guimarã
;
es
a
;
gcaixetag@gmail.com
;
Fabricio A.M. Moura
b
;
fabricio@eletrica.uftm.edu.br
;
Madeleine R.M.C. Albertini
b
;
rociodelpilar_21@hotmail.com
;
Marcelo K. Albertini
c
;
albertini@ufu.br
关键词:
Training algorithms
;
Artificial
neural
network
;
Support Vector Machine
;
Kalman filter
;
Photovoltaic
;
Power generation
刊名:Electric Power Systems Research
出版年:2017
5.
Predicting the physiological response of Tivela stultorum hearts with digoxin from cardiac parameters using
artificial
neural
network
s
作者:
Dora-Luz Flores
;
dflores@uabc.edu.mx
;
Claudia Gó
;
mez
;
David Cervantes
;
Alberto Abaroa
;
Carlos Castro
;
Rubé
;
n A. Castañ
;
eda-Martí
;
nez
关键词:
Artificial
neural
network
s
;
Cardio-activity
;
Digitalis
;
Digoxin
;
Drug response
;
Tivela stultorum
刊名:Biosystems
出版年:2017
6.
The use of a non-probabilistic
artificial
neural
network
to consider uncertainties in vibration-based-damage detection
作者:
Khairul H. Padil
a
;
Norhisham Bakhary
a
;
b
;
norhisham@utm.my" class="auth_mail" title="E-mail the corresponding author
;
Hong Hao
c
关键词:
Vibration-based damage detection
;
Artificial
neural
network
;
Uncertainties
;
Non-probabilistic
;
Interval analysis
刊名:Mechanical Systems and Signal Processing
出版年:2017
7.
Artificial
Neural
Network
s as a powerful numerical tool to classify specific features of a tooth based on 3D scan data
作者:
Stefan Raith
a
;
sraith@ukaachen.de
;
Eric Per Vogel
a
;
Naeema Anees
a
;
Christine Keul
b
;
Jan-Frederik Gü
;
th
b
;
Daniel Edelhoff
b
;
Horst Fischer
a
关键词:
Artificial
Neural
Network
s
;
Digital dentistry
;
3D surface scan
;
Image analysis
;
Machine learning
刊名:Computers in Biology and Medicine
出版年:2017
8.
H
∞
state estimation for
artificial
neural
network
s over redundant channels
作者:
Sunjie Zhang
a
;
zhang_sunjie@usst.edu.cn
Author Vitae
;
Derui Ding
a
Author Vitae
;
Guoliang Wei
a
Author Vitae
;
Yurong Liu
b
;
c
Author Vitae
;
Fuad E. Alsaadi
c
Author Vitae
关键词:
H&infin
;
state estimator
;
Artificial
neural
network
s
;
Infinite distributed delays
;
Redundant channels
刊名:Neurocomputing
出版年:2017
9.
Boosted
neural
network
s for improved short-term electric load forecasting
作者:
A.S. Khwaja
;
kashaharyar@gmail.com
;
X. Zhang
;
A. Anpalagan
;
B. Venkatesh
关键词:
Short-term electric load forecasting
;
Artificial
neural
network
s
;
Ensemble
neural
network
s
;
Boosting
刊名:Electric Power Systems Research
出版年:2017
10.
An unsupervised
artificial
neural
network
versus a rule-based approach for fault detection and identification in an automated assembly machine
作者:
Heshan Fernando
;
Brian Surgenor
关键词:
Artificial
neural
network
s
;
Assembly automation
;
Fault detection
;
Fault identification
刊名:Robotics and Computer-Integrated Manufacturing
出版年:2017
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