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TFS
2008
157views more  TFS 2008»
13 years 8 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
ISNN
2005
Springer
14 years 2 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
CEC
2009
IEEE
14 years 3 months ago
What is situated evolution?
—In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space...
Martijn C. Schut, Evert Haasdijk, A. E. Eiben
PRICAI
2004
Springer
14 years 1 months ago
Constrained Ant Colony Optimization for Data Clustering
Processes that simulate natural phenomena have successfully been applied to a number of problems for which no simple mathematical solution is known or is practicable. Such meta-heu...
Shu-Chuan Chu, John F. Roddick, Che-Jen Su, Jeng-S...
TWC
2008
194views more  TWC 2008»
13 years 8 months ago
Optimal Power Scheduling for Correlated Data Fusion in Wireless Sensor Networks via Constrained PSO
Optimal power scheduling for distributed detection in a Gaussian sensor network is addressed for both independent and correlated observations. We assume amplify-and-forward local p...
Thakshila Wimalajeewa, Sudharman K. Jayaweera