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在“
SpringerLink电子期刊
”中,
命中:
946
条,耗时:小于0.01 秒
在所有数据库中总计命中:
4,060
条
1.
Enhancing Visual Clustering Using Adaptive Moving Self-
Organizing
Maps
(AMSOM)
关键词:
Self
;
Organizing
Maps
;
Clustering
;
Visualization
;
Unsupervised learning
刊名:Lecture Notes in Computer Science
出版年:2017
2.
Multiparametric characterization of scientometric performance profiles assisted by neural networks: a study of Mexican higher education institutions
作者:
Elio Atenógenes Villaseñor
;
Ricardo Arencibia-Jorge…
关键词:
Bibliometric rankings
;
Higher education
;
Institutional academic assessment
;
Scientometric indicators
;
Self
;
organized neural networks
;
Scientometric data mining
;
Mexico
刊名:Scientometrics
出版年:2017
3.
SOMphony: Visualizing Symphonies Using Self
Organizing
Maps
关键词:
Symphony
;
Self
Organizing
Maps
;
k
;
means clustering
;
Music trajectory
刊名:Lecture Notes in Computer Science
出版年:2016
4.
Optimization of Combining of Self
Organizing
Maps
and Growing Neural Gas
关键词:
Self
organizing
maps
;
Growing neural gas
;
High
;
dimensional dataset
;
High performance computing
刊名:Lecture Notes in Computer Science
出版年:2016
5.
Sensitivity of HF radar-derived surface current self-
organizing
maps
to various processing procedures and mesoscale wind forcing
作者:
Ivica Vilibić
;
Hrvoje Kalinić
;
Hrvoje Mihanović
;
Simone Cosoli…
关键词:
Self
;
organizing
maps
;
Ocean surface currents
;
Mesoscale meteorological models
;
Adriatic Sea
刊名:Computational Geosciences
出版年:2016
6.
Analysis and Knowledge Discovery by Means of Self-
Organizing
Maps
for Gaia Data Releases
关键词:
Gaia mission
;
European Space Agency
;
Data mining
;
Artificial Intelligence
;
Self
;
Organizing
Maps
visualizations
刊名:Lecture Notes in Computer Science
出版年:2016
7.
Self
Organizing
Maps
for 3D Face Understanding
关键词:
Understanding of images
;
3D face recognition
;
Self
Organizing
Maps
刊名:Lecture Notes in Computer Science
出版年:2016
8.
Self-
organizing
Maps
as Feature Detectors for Supervised Neural Network Pattern Recognition
关键词:
Feature detectors
;
Self
;
organizing
maps
;
Multilayer perceptron
;
Pattern recognition
刊名:Lecture Notes in Computer Science
出版年:2016
9.
Hierarchical Self-
organizing
Maps
of NIRS and EEG Signals for Recognition of Brain States
关键词:
Brain state
;
NIRS
;
EEG
;
Self
;
organizing
map
;
DIKW model
刊名:Lecture Notes in Computer Science
出版年:2016
10.
A New Heuristic for Bandwidth and Profile Reductions of Matrices Using a Self-
organizing
Map
关键词:
Bandwidth reduction
;
Profile reduction
;
Self
;
organizing
maps
;
Conjugate gradient method
;
Graph labeling
刊名:Lecture Notes in Computer Science
出版年:2016
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