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» On Generalization by Neural Networks
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ESANN
1998
15 years 8 months ago
A self-organising neural network for modelling cortical development
This paper presents a novel self-organising neural network. It has been developed for use as a simpli ed model of cortical development. Unlike many other models of topological map...
Michael W. Spratling, Gillian Hayes
NIPS
1998
15 years 8 months ago
Global Optimisation of Neural Network Models via Sequential Sampling
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
João F. G. de Freitas, Mahesan Niranjan, Ar...
IEICET
2007
75views more  IEICET 2007»
15 years 6 months ago
An Inhibitory Neural-Network Circuit Exhibiting Noise Shaping with Subthreshold MOS Neuron Circuits
We designed subthreshold analog MOS circuits implementing an inhibitory network model that performs noise-shaping pulse-density modulation with noisy neural elements. Our aim is t...
Akira Utagawa, Tetsuya Asai, Tetsuya Hirose, Yoshi...
IVC
2002
92views more  IVC 2002»
15 years 6 months ago
Image segmentation by relaxation using constraint satisfaction neural network
The problem of image segmentation using constraint satisfaction neural networks (CSNN) has been considered. Several variations of the CSNN theme have been advanced to improve its ...
Fatih Kurugollu, Bülent Sankur, A. Emre Harma...
IJCNN
2008
IEEE
16 years 1 months ago
A connection-limited neural network by InfoMax and InfoMin
— It is well known that edge filters in the visual system can be generated by the InfoMax principle. But, such models are nonlinear and employ fully-connected network structures...
Yoshitatsu Matsuda, Kazunori Yamaguchi