Browsing by Author "Papageorgiou, E. I."
Now showing items 1-9 of 9
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Application of fuzzy cognitive maps for cotton yield management in precision farming
Papageorgiou, E. I.; Markinos, A.; Gemptos, T. (2009)The management of cotton yield behavior in agricultural areas is a very important task because it influences and specifies the cotton yield production. An efficient knowledge-based approach utilizing the method of fuzzy ... -
Bagged nonlinear Hebbian learning algorithm for fuzzy cognitive maps working on classification tasks
Papageorgiou, E. I.; Oikonomou, P.; Kannappan, A. (2012)Learning of fuzzy cognitive maps (FCMs) is one of the most useful characteristics which have a high impact on modeling and inference capabilities of them. The learning approaches for FCMs are concentrated on learning the ... -
Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application
Papageorgiou, E. I.; Markinos, A. T.; Gemtos, T. A. (2011)This work investigates the process of yield prediction in cotton crop production using the soft computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy logic and cognitive map theories, ... -
A fuzzy inference system to model grape quality in vineyards
Tagarakis, A.; Koundouras, S.; Papageorgiou, E. I.; Dikopoulou, Z.; Fountas, S.; Gemtos, T. A. (2014)Fuzzy inference systems (FIS) are particularly suited for aggregating multiple data to feed multi-variables decision support systems. Moreover, grape quality is a complex concept that refers to the simultaneous achievement ... -
Management of uncomplicated urinary tract infections using fuzzy cognitive maps
Papageorgiou, E. I.; Papadimitriou, C.; Karkanis, S. (2009)Urinary Tract Infection (UTI) is a bacterial infection that affects any part of the urinary tract. It can be classified as uncomplicated (patients with urinary tracts that are normal from both structural and functional ... -
Particle Swarm Optimization approach for fuzzy cognitive maps applied to autism classification
Oikonomou, P.; Papageorgiou, E. I. (2013)The task of classification using intelligent methods and learning algorithms is a difficult task leading the research community on finding new classifications techniques to solve it. In this work, a new approach based on ... -
Soft computing technique of fuzzy cognitive maps to connect yield defining parameters with yield in cotton crop production in central Greece as a basis for a decision support system for precision agriculture application
Papageorgiou, E. I.; Markinos, A. T.; Gemtos, T. A. (2010)This work investigates the yield and yield variability prediction in cotton crop. Cotton crop management is a complex process with interacting parameters like soil, crop and weather factors. The soft computing technique ... -
A study of cAnt-Miner2 parameters using medical data sets
Michelakos, I.; Papageorgiou, E. I.; Vasilakopoulos, M. (2010)This paper presents a study of the user-defined parameters of the cAnt-Miner2 algorithm which extended the approach of coping with continuous attributes that was introduced by the cAnt-Miner algorithm. Experiments on two ... -
Yield prediction in apples using Fuzzy Cognitive Map learning approach
Papageorgiou, E. I.; Aggelopoulou, K. D.; Gemtos, T. A.; Nanos, G. D. (2013)This work investigates the yield modeling and prediction process in apples (cv. Red Chief) using the dynamic influence graph of Fuzzy Cognitive Maps (FCMs). FCMs are ideal causal cognition tools for modeling and simulating ...