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ESANN
2008
15 years 8 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
HIS
2004
15 years 8 months ago
Q'tron Neural Networks for Constraint Satisfaction
This paper proposes the methods to solve the constraint satisfaction problems (CSPs) using Q'tron neural networks (NNs). A Q'tron NN is local-minima free if it is built ...
Tai-Wen Yue, Mei-Ching Chen
ESANN
2000
15 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...
ANNS
2010
15 years 4 months ago
A Software Framework for Mapping Neural Networks to a Wafer-scale Neuromorphic Hardware System
In this contribution we will provide the reader with outcomes of the development of a novel software framework for an unique wafer-scale neuromordware system. The hardware system i...
Matthias Ehrlich, Karsten Wendt, Lukas Zühl, ...
ICEIS
2009
IEEE
15 years 4 months ago
Pattern Recognition for Downhole Dynamometer Card in Oil Rod Pump System using Artificial Neural Networks
: This paper presents the development of an Artificial Neural Network system for Dynamometer Card pattern recognition in oil well rod pump systems. It covers the establishment of p...
Marco A. D. Bezerra, Leizer Schnitman, Manuel de A...