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» The importance of learning in fuzzy systems
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JNCA
2007
136views more  JNCA 2007»
13 years 8 months ago
Adaptive anomaly detection with evolving connectionist systems
Anomaly detection holds great potential for detecting previously unknown attacks. In order to be effective in a practical environment, anomaly detection systems have to be capable...
Yihua Liao, V. Rao Vemuri, Alejandro Pasos
GCC
2005
Springer
14 years 2 months ago
Knowledge Acquisition Based on the Global Concept of Fuzzy Cognitive Maps
Combination of prior knowledge and implicit knowledge hidden in the data of system can enhance the quality of information services in Knowledge Grid. Fuzzy Cognitive Maps (FCMs) ar...
Xiangfeng Luo
AINA
2006
IEEE
14 years 2 months ago
On Optimization and Parallelization of Fuzzy Connected Segmentation for Medical Imaging
Fuzzy Connectedness is an important image segmentation routine for image processing of medical images. It is often used in preparation for surgery and sometimes during surgery. It...
Christopher Gammage, Vipin Chaudhary
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 2 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
ICANN
2003
Springer
14 years 2 months ago
Self-Organizing Operator Maps in Complex System Analysis
Abstract. The growth in amount of data available today has encouraged the development of effective data analysis methods to support human decision-making. Neuro-fuzzy computation ...
Pasi Lehtimäki, Kimmo Raivio, Olli Simula