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IJCAI
2007
15 years 8 months ago
Extracting Propositional Rules from Feed-forward Neural Networks - A New Decompositional Approach
In this paper, we present a new decompositional approach for the extraction of propositional rules from feed-forward neural networks of binary threshold units. After decomposing t...
Sebastian Bader, Steffen Hölldobler, Valentin...
ERSA
2006
91views Hardware» more  ERSA 2006»
15 years 8 months ago
Intrinsic Embedded Hardware Evolution of Block-based Neural Networks
- An intrinsic embedded online evolution system has been designed using Block-based neural networks and implemented on Xilinx VirtexIIPro FPGAs. The designed network can dynamicall...
Saumil Merchant, Gregory D. Peterson, Seong Kong
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...