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DATE
2008
IEEE
134views Hardware» more  DATE 2008»
14 years 1 months ago
Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence
This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing ...
Amin Farmahini Farahani, Seid Mehdi Fakhraie, Saee...
IJNS
2000
80views more  IJNS 2000»
13 years 7 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
ESANN
2006
13 years 8 months ago
Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic
Abstract. Current digital, directly mapped implementations of spiking neural networks use serial processing and parallel arithmetic. On a standard CPU, this might be the good choic...
Benjamin Schrauwen, Jan M. Van Campenhout
NIPS
2004
13 years 8 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...
ESANN
2008
13 years 8 months ago
Neural network hardware architecture for pattern recognition in the HESS2 project
In this paper, we consider the problem of implementation of neural network in the context of the level 2 trigger of HESS2 project. We propose a hardware architecture which which ta...
Narayanan Ramanan, Sonia Khatchadourian, Jean-Chri...