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IJCNN
2008
IEEE
13 years 12 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
IJCNN
2006
IEEE
13 years 11 months ago
Improving the Convergence of Backpropagation by Opposite Transfer Functions
—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...
Mario Ventresca, Hamid R. Tizhoosh
CDC
2009
IEEE
139views Control Systems» more  CDC 2009»
13 years 3 months ago
Synchronization stability of complex dynamical networks with probabilistic time-varying delays
Abstract-- A kind of complex dynamical networks with timevarying coupling delays is proposed. By some transformation, the synchronization problem of the complex networks is transfe...
Hongjie Li, Dong Yue, Zhou Gu