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IJIT
2004
13 years 9 months ago
Improving the Convergence of the Backpropagation Algorithm Using Local Adaptive Techniques
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
Z. Zainuddin, N. Mahat, Y. Abu Hassan
IJCNN
2000
IEEE
14 years 12 days ago
An Incremental Growing Neural Network and its Application to Robot Control
This paper describes a novel network model, which is able to control its growth on the basis of the approximation requests. Two classes of self-tuning neural models are considered...
A. Carlevarino, R. Martinotti, Giorgio Metta, Giul...
UIC
2009
Springer
14 years 17 days ago
MeshVision: An Adaptive Wireless Mesh Network Video Surveillance System
The major surveillance camera manufacturers have begun incorporating wireless networking functionality into their products to enable wireless access. However, the video feeds from ...
Peizhao Hu, Ryan Wishart, Jimmy Ti, Marius Portman...
IJCNN
2000
IEEE
14 years 12 days ago
Neuro-Wavelet Parametric Modeling
This w orkshows how to train the activation function in neuro-wavelet parametric modeling and how this improves performance in a number of modeling, classi cation and forecasting.
Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyn...
IPPS
2005
IEEE
14 years 1 months ago
Practical Performance Model for Optimizing Dynamic Load Balancing of Adaptive Applications
Optimizing the performance of dynamic load balancing toolkits and applications requires the adjustment of several runtime parameters; however, determining sufficiently good value...
Kevin Barker, Nikos Chrisochoides