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SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
14 years 2 months ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian
KES
2005
Springer
14 years 2 months ago
Relative Magnitude of Gaussian Curvature from Shading Images Using Neural Network
Abstract. A new approach is proposed to recover the relative magnitude of Gaussian curvature from three shading images using neural network. Under the assumption that the test obje...
Yuji Iwahori, Shinji Fukui, Chie Fujitani, Yoshino...
CIT
2004
Springer
14 years 1 months ago
Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions
Abstract. In this paper, we presents an adaptive neural network based clustering method to group protein
Jae-Hong Eom, Byoung-Tak Zhang
CAINE
2007
13 years 10 months ago
A Simple Fuzzy Neural Network
Our simple fuzzy neural network first thins the set of exemplar input feature vectors and then centers a Gaussian function on each remaining one and saves its associated output la...
Carl G. Looney, Sergiu Dascalu
IJCAI
2007
13 years 10 months ago
Encoding Closure Operators into Neural Networks
Motivated by basic ideas from formal concept analysis, we propose two ways to directly encode closure operators on finite sets in a 3-layered feed forward neural network.
Sebastian Rudolph