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Neural Computing and Applications
Springer-Verlag
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1-9 of 9 reviews
Date Reviewed
A novel multilayer AAA model for integrated applications
Rezakhani A., Shirazi H., Modiri N. Neural Computing and Applications 29(10): 887-901, 2018. Type: Article
Unidimensional static security policies cannot cater to the needs of a growing enterprise anymore. Local regulations, business processes, operational levels, and threat modeling are the key anchors around which successful organizations...
Mar 22 2019
Machine learning approach for face image retrieval
Wang D., Conilione P. Neural Computing and Applications 21(4): 683-694, 2012. Type: Article
Content-based image retrieval (CBIR) has been one of the hottest fields in pattern recognition for over a decade. The retrieval of face images finds application in various domains, including medical diagnosis, journalism, crime prevent...
Aug 8 2012
An incremental online semi-supervised active learning algorithm based on self-organizing incremental neural network
Shen F., Yu H., Sakurai K., Hasegawa O. Neural Computing and Applications 20(7): 1061-1074, 2011. Type: Article
Shen et al. propose an enhancement of a learning algorithm they developed previously. The base algorithm may be seen as a clever combination of self-organizing maps and neural gas. Since this algorithm is fairly new, literature sources...
May 17 2012
On-line learning from streaming data with delayed attributes: a comparison of classifiers and strategies
Millán-Giraldo M., Sánchez J., Traver V. Neural Computing and Applications 20(7): 935-944, 2011. Type: Article
This paper tackles the problem of classifying incoming instances of data streams that contain attributes that arrive with a certain delay. It builds an evaluation framework, considering three strategies corresponding to the usage of th...
May 7 2012
Missing wind data forecasting with adaptive neuro-fuzzy inference system
Hocaoglu F., Oysal Y., Kurban M. Neural Computing and Applications 18(3): 207-212, 2009. Type: Article
How do you predict missing
y
data values when the level of the
y
values fluctuates up and down within the data’s range? With ordinary least squares, you must add a term for each change in...
Jun 17 2009
Unknown odor recognition using Euclidean fuzzy similarity-based self-organized network inspired by immune algorithm
Widyanto M., Kusumoputro B., Hirota K. Neural Computing and Applications 17(1): 27-37, 2007. Type: Article
This paper proposes an algorithm for recognizing known and unknown odors. The corresponding system developed by Widyanto et al. is called Euclidean fuzzy similarity-based self-organized network inspired by immune algorithm (EF-SONIA). ...
Jul 9 2008
The research of self-repairing digital circuit based on embryonic cellular array
Zhang Z., Wang Y., Yang S., Yao R., Cui J. Neural Computing and Applications 17(2): 145-151, 2008. Type: Article
Following a well-known column-elimination strategy, this paper satisfies the stated goal of successfully implementing a self-repairing mechanism using lookup tables (LUT). Successful repair is validated by a simulation of a faulty cell...
Jun 25 2008
Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation
Loo K., Law A., Lim W., Rao M. Neural Computing and Applications 15(1): 79-90, 2006. Type: Article
The authors have proposed the use of the probabilistic ensemble simplified fuzzy ARTMAP (PESFAM) for differentiating surface types based on ultrasonic waves. This paper has two main contributions: it shows that PESFAM is better than si...
Sep 13 2007
Data mining using rule extraction from Kohonen self-organising maps
Malone J., McGarry K., Wermter S., Bowerman C. Neural Computing and Applications 15(1): 9-17, 2006. Type: Article
This paper presents a novel approach to automatically recognizing the boundaries of complex
n
-dimensional data clusters. This approach requires a trained Kohonen self-organizing feature map, a particular kind of neur...
Jun 22 2006
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