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» The rebirth of neural networks
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NPL
2000
135views more  NPL 2000»
15 years 6 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
NN
2007
Springer
106views Neural Networks» more  NN 2007»
15 years 6 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
JOCN
2011
66views more  JOCN 2011»
15 years 1 months ago
The Packet Switching Brain
■ The computer metaphor has served brain science well as a tool for comprehending neural systems. Nevertheless, we propose here that this metaphor be replaced or supplemented by...
Daniel J. Graham, Daniel N. Rockmore
FGCN
2008
IEEE
153views Communications» more  FGCN 2008»
16 years 1 months ago
Experimental Study on Neuronal Spike Sorting Methods
When recording extracellular neural activity, it is often necessary to distinguish action potentials arising from distinct cells near the electrode tip, a process commonly referre...
Jianhua Dai, Xiaochun Liu, Yu Yi, Huaijian Zhang, ...
IJCNN
2006
IEEE
16 years 17 days ago
Reservoir-based techniques for speech recognition
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
David Verstraeten, Benjamin Schrauwen, Dirk Stroob...