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ISNN
2005
Springer
15 years 4 months ago
Application of Multi-weighted Neuron for Iris Recognition
Abstract. In this paper, from the cognition science point of view, we constructed a neuron of multi-weighted neural network, and proposed a new method for iris recognition based on...
Wenming Cao, Jianhui Hu, Gang Xiao, Shoujue Wang
ARC
2009
Springer
175views Hardware» more  ARC 2009»
15 years 5 months ago
A Hardware Accelerated Simulation Environment for Spiking Neural Networks
Spiking Neural Networks (SNNs) model the biological functions of the human brain enabling neuro/computer scientists to investigate how arrays of neurons can be used to solve comput...
Brendan P. Glackin, Jim Harkin, T. Martin McGinnit...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
14 years 10 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
73
Voted
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 4 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
68
Voted
IDEAL
2005
Springer
15 years 4 months ago
Neural Networks: A Replacement for Gaussian Processes?
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
Matthew Lilley, Marcus R. Frean