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IJNS
2000
80views more  IJNS 2000»
13 years 8 months ago
VLSI Implementation of Neural Networks
Currently, fuzzy controllers are the most popular choice for hardware implementation of complex control surfaces because they are easy to design. Neural controllers are more compl...
Bogdan M. Wilamowski, J. Binfet, M. O. Kaynak
ISCI
2000
153views more  ISCI 2000»
13 years 8 months ago
Neural networks for HREM image analysis
We present a new neural network-based method of image processing for determining the local composition and thickness of III
Holger Kirschner, Reinald Hillebrand
COGSR
2011
99views more  COGSR 2011»
13 years 3 months ago
A biologically realistic cleanup memory: Autoassociation in spiking neurons
Methods for cleaning up (or recognizing) states of a neural network are crucial for the functioning of many neural cognitive models. For example, Vector Symbolic Architectures pro...
Terrence C. Stewart, Yichuan Tang, Chris Eliasmith
SOCO
2002
Springer
13 years 8 months ago
fXOR fuzzy logic networks
The study introduces a new class of fuzzy neurons and fuzzy neural networks exploiting a model of a generalized multivalued exclusive-OR (XOR) operation. The proposed neural archit...
Witold Pedrycz, Giancarlo Succi
ICANN
2011
Springer
12 years 12 months ago
Transforming Auto-Encoders
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang