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ICONIP
2008
15 years 1 months ago
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining
This paper presents a novel and notable swarm approach to evolve an optimal set of weights and architecture of a neural network for classification in data mining. In a distributed ...
Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae...
IPPS
2008
IEEE
15 years 6 months ago
Towards a decentralized architecture for optimization
We introduce a generic framework for the distributed execution of combinatorial optimization tasks. Instead of relying on custom hardware (like dedicated parallel machines or clus...
Marco Biazzini, Mauro Brunato, Alberto Montresor
CEC
2009
IEEE
15 years 6 months ago
Gradient estimation in global optimization algorithms
Abstract— The role of gradient estimation in global optimization is investigated. The concept of a regional gradient is introduced as a tool for analyzing and comparing different...
Megan Hazen, Maya R. Gupta
ISCAS
2005
IEEE
114views Hardware» more  ISCAS 2005»
15 years 5 months ago
Structured stochastic optimization strategies for problems with ill-conditioned error surfaces
—This paper compares the performance of several structured optimization strategies in adaptive signal processing problems that are characterized by ill-conditioned error surfaces...
S. Pal, Dean J. Krusienski, W. Kenneth Jenkins
DATE
2008
IEEE
134views Hardware» more  DATE 2008»
15 years 6 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...