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TNN
2008
88views more  TNN 2008»
13 years 7 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
ICAISC
2004
Springer
14 years 23 days ago
Optimization of Centers' Positions for RBF Nets with Generalized Kernels
The problem of locating centers for radial basis functions in neural networks is discussed. The proposed approach allows us to apply the results from the theory of optimum experime...
Ewaryst Rafajlowicz, Miroslaw Pawlak
ICANN
2010
Springer
13 years 8 months ago
Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover ...
Yusuke Komatsu, Shohei Shimizu, Hidetoshi Shimodai...
FPL
2003
Springer
144views Hardware» more  FPL 2003»
14 years 18 days ago
FPGA Implementations of Neural Networks - A Survey of a Decade of Progress
The first successful FPGA implementation [1] of artificial neural networks (ANNs) was published a little over a decade ago. It is timely to review the progress that has been made i...
Jihan Zhu, Peter Sutton
ESANN
2000
13 years 8 months ago
Confidence estimation methods for neural networks : a practical comparison
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
Georgios Papadopoulos, Peter J. Edwards, Alan F. M...