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NPL
2000
135views more  NPL 2000»
13 years 5 months ago
Towards the Optimal Learning Rate for Backpropagation
A backpropagation learning algorithm for feedforward neural networks with an adaptive learning rate is derived. The algorithm is based upon minimising the instantaneous output erro...
Danilo P. Mandic, Jonathon A. Chambers
IJON
2007
95views more  IJON 2007»
13 years 5 months ago
A biophysical neural accumulator model of decision making in an antisaccade task
A biophysical cortico-colicular model of saccade initiation based on competitive integration of planned and reactive cortical saccade decision signals in the intermediate layer of...
Vassilis Cutsuridis, Ioannis Kahramanoglou, Nikola...
ICANN
2005
Springer
13 years 10 months ago
Interpolation Mechanism of Functional Networks
In this paper, the interpolation mechanism of functional networks is discussed. A kind of fourlayer (with 1 input and 1 output unit) and a five-layer (with double input and single...
Yong-Quan Zhou, Licheng Jiao
CVPR
1999
IEEE
14 years 7 months ago
Integrating Shape from Shading and Range Data Using Neural Networks
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...
SIBGRAPI
2003
IEEE
13 years 10 months ago
Learning-Based versus Model-Based Log-Polar Feature Extraction Operators: A Comparative Study
In this paper, we compare two distinct primal sketch feature extraction operators: one based on neural network feature learning and the other based on mathematical models of the f...
Herman Martins Gomes, Robert B. Fisher