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» Neural networks: Algorithms and applications
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IJCNN
2008
IEEE
15 years 7 months ago
Numerical condition of feedforward networks with opposite transfer functions
— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
Mario Ventresca, Hamid R. Tizhoosh
IEAAIE
2005
Springer
15 years 6 months ago
A SOM Based Approach for Visualization of GSM Network Performance Data
In this paper, a neural network based approach to visualize performance data of a GSM network is presented. The proposed approach consists of several steps. First, a suitable propo...
Pasi Lehtimäki, Kimmo Raivio
96
Voted
SBRN
2000
IEEE
15 years 5 months ago
Evolutionary Optimization of RBF Networks
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
Estefane G. M. de Lacerda, Teresa Bernarda Ludermi...
85
Voted
ICML
2009
IEEE
16 years 1 months ago
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery
We develop a cyclical blockwise coordinate descent algorithm for the multi-task Lasso that efficiently solves problems with thousands of features and tasks. The main result shows ...
Han Liu, Mark Palatucci, Jian Zhang
114
Voted
IAJIT
2010
99views more  IAJIT 2010»
14 years 11 months ago
Hybrid computing algorithm in representing solid model
: This paper presents an algorithm, which is a hybrid-computing algorithm in representing solid model. The proposed algorithm contains two steps namely reconstruction and represent...
Muhammad Matondang, Habibollah Haron