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SASO
2009
IEEE
13 years 11 months ago
Learning Non-Explicit Control Parameters of Self-Organizing Systems
Abstract—Controlling self-organizing systems with given control parameters is often unintuitive and inefficient for the user. Typically, there is some emergent behavior that the...
Don Miner, Marie desJardins
TSMC
2008
137views more  TSMC 2008»
13 years 4 months ago
A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation
This paper proposes a type-2 self-organizing neural fuzzy system (T2SONFS) and its hardware implementation. The antecedent parts in each T2SONFS fuzzy rule are interval type-2 fuzz...
Chia-Feng Juang, Yu-Wei Tsao
INFORMATICALT
2010
122views more  INFORMATICALT 2010»
13 years 2 months ago
On a Time-Varying Parameter Adaptive Self-Organizing System in the Presence of Large Outliers in Observations
In the previous papers (Pupeikis, 2000; Genov et al., 2006; Atanasov and Pupeikis, 2009), a direct approach for estimating the parameters of a discrete-time linear time-invariant (...
Rimantas Pupeikis
SASO
2009
IEEE
13 years 11 months ago
Controlling Particle Swarm Optimization with Learned Parameters
—Controlling particle swarm optimization is typically an unintuitive task, involving a process of adjusting low-level parameters of the system that often do not have obvious corr...
Kevin Winner, Don Miner, Marie desJardins
SASO
2009
IEEE
13 years 11 months ago
Distributed W-Learning: Multi-Policy Optimization in Self-Organizing Systems
—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
Ivana Dusparic, Vinny Cahill