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IJCNN
2007
IEEE
15 years 6 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
AINA
2006
IEEE
15 years 6 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
136views Optimization» more  GECCO 2005»
15 years 5 months ago
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants
Designing technical plants is a complex and demanding process. It has been shown that the optimization of the simple facility placement problem is already NP-hard. Optimization of...
Ingo Mierswa
SEKE
2009
Springer
15 years 4 months ago
Improving Negotiations through Fuzzy Cognitive Maps
In a decision-making process, a systematic method to manage and measure negotiation aspects provides crucial information to negotiators and has emerged as a key factor to determin...
Sérgio Assis Rodrigues, Tiago Santos da Sil...
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
14 years 12 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya