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ICANN
1997
Springer
13 years 8 months ago
Analog Sequential Architecture for Neuro-Fuzzy Models VLSI Implementation
Juan Manuel Moreno, Jordi Madrenas, Eduard Alarc&o...
IJNS
2000
80views more  IJNS 2000»
13 years 4 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
NIPS
2004
13 years 6 months ago
Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid
Computation without stable states is a computing paradigm different from Turing's and has been demonstrated for various types of simulated neural networks. This publication t...
Felix Schürmann, Karlheinz Meier, Johannes Sc...
ICES
2001
Springer
140views Hardware» more  ICES 2001»
13 years 9 months ago
A VLSI Implementation of an Analog Neural Network Suited for Genetic Algorithms
The usefulness of an artificial analog neural network is closely bound to its trainability. This paper introduces a new analog neural network architecture using weights determined...
Johannes Schemmel, Karlheinz Meier, Felix Schü...
IJCNN
2006
IEEE
13 years 10 months ago
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model
— This paper describes an area-efficient mixed-signal implementation of synapse-based long term plasticity realized in a VLSI1 model of a spiking neural network. The artificial...
Johannes Schemmel, Andreas Grübl, Karlheinz M...