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Evolution of Voronoi based fuzzy recurrent controllers

Carlos Kavka, Patricia Roggero, Marc Schoenauer
2005 Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05  
In this work, we propose the Recurrent Fuzzy Voronoi (RFV) model, a representation for recurrent fuzzy systems.  ...  The FV model is a representation for fuzzy controllers based on Voronoi diagrams that can represent fuzzy systems with synergistic rules, fulfilling the -completeness property and providing a simple way  ...  In this work, we propose a recurrent structure for fuzzy systems based on the Fuzzy Voronoi (FV) method proposed in [14] , that allows the definition of recurrent fuzzy systems with a clear interpretation  ... 
doi:10.1145/1068009.1068231 dblp:conf/gecco/KavkaRS05 fatcat:oypqhqu7o5gn5lmh7q6xa45woq

Evolution of Voronoi based Fuzzy Recurrent Controllers [article]

Carlos Kavka, Marc Schoenauer
2005 arXiv   pre-print
In this work, we propose the Recurrent Fuzzy Voronoi (RFV) model, a representation for recurrent fuzzy systems.  ...  The FV model is a representation for fuzzy controllers based on Voronoi diagrams that can represent fuzzy systems with synergistic rules, fulfilling the ϵ-completeness property and providing a simple way  ...  In this work, we propose a recurrent structure for fuzzy systems based in the Fuzzy Voronoi (FV) method proposed in [13] , which allows the definition of recurrent fuzzy systems with a clear interpretation  ... 
arXiv:cs/0511091v1 fatcat:2v3gd7oukbck3o7c7us4o7jce4

Hybrid Clustering-Classification Neural Network in the Medical Diagnostics of the Reactive Arthritis

Yevgeniy Bodyanskiy, Olena Vynokurova, Volodymyr Savvo, Tatiana Tverdokhlib, Pavlo Mulesa
2016 International Journal of Intelligent Systems and Applications  
Her research interests are hybrid systems of computational intelligence: dynamical data mining, wavelet-neuro-, neo-fuzzy-, on-line systems that have to do with control, identification, and forecasting  ...  This network allo ws to increase a quality of information processing under the condition of overlapping classes due to the rational choice of learning rate parameter and introducing special procedure of  ...  This procedure is based on using similarity measure, recurrent optimization and fuzzy inference and differs with high speed, possibility of operating in on-line mode and simplicity of co mputational realization  ... 
doi:10.5815/ijisa.2016.08.01 fatcat:5chrh7hym5ayvlvlydkpvc3nsm

A Decade of Kasabov's Evolving Connectionist Systems: A Review

M.J. Watts
2009 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
time", rather than evolving through simulated evolution.  ...  The paper ends with some suggestions of future directions of research into ECoS networks.  ...  Temporal extensions to ECoS, based on the Jordan-Elman Simple Recurrent Network (SRN) [34] , [102] , have also been proposed [90] .  ... 
doi:10.1109/tsmcc.2008.2012254 fatcat:zqozz7v3wza7voylgofytyrgpa

Recent Studies Utilizing Artificial Intelligence Techniques for Solving Data Collection, Aggregation and Dissemination Challenges in Wireless Sensor Networks: A Review

Walid Osamy, Ahmed M. Khedr, Ahmed Salim, Amal Ibrahim AlAli, Ahmed A. El-Sawy
2022 Electronics  
WSN, during the span of 2010 to 2021.  ...  and Internet of Things by providing pervasive real-time applications.  ...  In [85] , an energy-efficient Voronoi Fuzzy multi hop Clustering (V-FCM) technique for WSN data aggregation is discussed. It combines the Voronoi diagram and a modified Fuzzy C-Means algorithm.  ... 
doi:10.3390/electronics11030313 fatcat:yygqqieoirg6zepo5ujwzt7q4q

Survey of contemporary trends in color image segmentation

Sreenath Rao Vantaram, Eli Saber
2012 Journal of Electronic Imaging (JEI)  
Our taxonomy of segmentation techniques is sampled from a wide spectrum of spatially blind (or feature-based) approaches such as clustering and histogram thresholding as well as spatially guided (or spatial  ...  domain-based) methods such as region growing/splitting/merging, energy-driven parametric/geometric active contours, supervised/unsupervised graph cuts, and watersheds, to name a few.  ...  Carlson Center for Imaging Science and the Department of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY.  ... 
doi:10.1117/1.jei.21.4.040901 fatcat:dco5abqsvzcuxi5ydktbssz6xi

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Ben Beklisi Kwame Ayawli, Ryad Chellali, Albert Yaw Appiah, Frimpong Kyeremeh
2018 Journal of Advanced Transportation  
The main strengths and challenges of path planning methods employed by researchers were identified and discussed. Future directions for path planning research is given.  ...  This paper presents an overview of nature-inspired, conventional, and hybrid path planning strategies employed by researchers over the years for mobile robot path planning problem.  ...  Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper.  ... 
doi:10.1155/2018/8269698 fatcat:fpadrzacozbdnkcqkjduokmoc4

A generalized framework for ANFIS synthesis procedures by clustering techniques

Stefano Leonori, Alessio Martino, Massimiliano Luzi, Fabio Massimo Frattale Mascioli, Antonello Rizzi
2020 Applied Soft Computing  
Conversely, Adaptive Neuro Fuzzy Inference Systems (ANFISs) demonstrated to be very accurate models featured by a considerable degree of interpretability.  ...  performance evaluation, by taking into account different clustering algorithms, dissimilarity measures and by including an additional neurofuzzy classifier downstream the clustering phase targeted to rule base  ...  In [33] , a recurrent mechanism for generating an ANFIS by means of a kernel-based fuzzy clustering method is used for identifying dynamic response of the magnetorheological damper.  ... 
doi:10.1016/j.asoc.2020.106622 fatcat:7lx5tqhy75hz5ib4ski6jtiwjq

Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering [chapter]

René Doursat
2009 Understanding Complex Systems  
Information technologies will progress, instead, by"meta-designing" mechanisms of system selfassembly, self-regulation and evolution.  ...  A virtual organism is a lattice of cells that proliferate, migrate and self-pattern into differentiated domains. Each cell's fate is controlled by an internal gene regulatory network.  ...  allowing fuzzy self-placement tightly optimized systems hyperdistributed and redundant systems sensitive to part failures insensitive to part failures need to control prepare to adapt and self-regulate  ... 
doi:10.1007/978-3-540-77657-4_8 fatcat:dtcq5x6ozvaxrnckulmpyfgp74

Teams as Complex Adaptive Systems: Reviewing 17 Years of Research

Pedro J. Ramos-Villagrasa, Pedro Marques-Quinteiro, José Navarro, Ramón Rico
2017 Small Group Research  
To help fully incorporate the logic of teams as CAS in the science of teams, we review extant research on teams approached from a nonlinear dynamical system theory.  ...  At the turn of the century, Arrow, McGrath, and Berdahl portrayed teams as complex adaptive systems (CAS).  ...  Considering teams as CAS requires embracing the idea of fuzzy sets.  ... 
doi:10.1177/1046496417713849 fatcat:ufdvrsihgbgi5fpojxzr2mzg34

Can We `Feel' the Temperature of Knowledge? Modelling Scientific Popularity Dynamics via Thermodynamics [article]

Luoyi Fu, Dongrui Lu, Qi Li, Xinbing Wang, Chenghu Zhou
2020 arXiv   pre-print
One part depicts lasting impact by assessing knowledge accumulation with an analogy between topic evolution and isobaric expansion.  ...  The other part gauges temporal changes in knowledge structure, an embodiment of short-term popularity, through the rate of entropy change with internal energy, 2 thermodynamic variables approximated via  ...  Skeleton tree until 2007 (e) Skeleton tree until 2010 (f) Skeleton tree until Particle OnLine Control of Nonlinear Systems using Neuro-Fuzzy Learning tuned by Metaheuristic Algorithms 2014 Figure S37  ... 
arXiv:2007.13270v1 fatcat:qybvondcsfg2fh7gb2goxfwvnm

Cytology Image Analysis Techniques Towards Automation: Systematically Revisited [article]

Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar
2020 arXiv   pre-print
To be precise, we discuss the diversity of the state-of-the-art methodologies, their challenges to provide prolific and competent future research directions inbringing the cytology-based commercial systems  ...  Cytology is the branch of pathology which deals with the microscopic examination of cells for diagnosis of carcinoma or inflammatory conditions.  ...  Acknowledgement This work is partially supported by SERB (DST), Govt. of India sponsored project ( order no. EEQ/2018/000963 dated 22/03/2019).  ... 
arXiv:2003.07529v1 fatcat:eossjujftzflbfnfhbsw55tlta

2019-2020 Index IEEE Transactions on Industrial Electronics Vol. 67

2020 IEEE transactions on industrial electronics (1982. Print)  
, Implementation, and Evaluation of a Neural-Network-Based Quadcopter UAV System; TIE March 2020 2076-2085 Jiang, J., Mohagheghi, A., and Moallem, M., Energy-Efficient Supplemental LED Lighting Control  ...  Abbasinezhad-Mood, D., TIE April 2020 2844-2851 Ning, D., Du, H., Sun, S., Zheng, M., Li, W., Zhang, N., and Jia, Z., An Electro-magnetic Variable Stiffness Device for Semiactive Seat Suspension Vibration Control  ...  ., +, TIE Jan. 2020 746-756 Adaptive Fuzzy Tracking Control of Flexible-Joint Robots Based on Command Filtering.  ... 
doi:10.1109/tie.2020.3045338 fatcat:gljm7ngg3fakvmnfswcbb5vwiu

In SilicoModelling of Tumour Margin Diffusion and Infiltration: Review of Current Status

Fatemeh Leyla Moghaddasi, Eva Bezak, Loredana Marcu
2012 Computational and Mathematical Methods in Medicine  
In general terms, biomathematical models based on a sequence of observations or development of a hypothesis assume some links between biological mechanisms involved in cancer development and progression  ...  As a result of advanced treatment techniques, requiring precise target definitions, a need for more accurate delineation of the Clinical Target Volume (CTV) has arisen.  ...  of their respective subclinical recurrence.  ... 
doi:10.1155/2012/672895 pmid:22919432 pmcid:PMC3418724 fatcat:cpdd7lf3ibegtoj5c3i4gakjea

Towards Comprehensive Foundations of Computational Intelligence [chapter]

Włodzisław Duch
2007 Studies in Computational Intelligence  
such meta-learning, and a more general approach based on chains of transformations.  ...  Heterogeneous adaptive systems are presented as particular example of transformation-based systems, and the goal of learning is redefined to facilitate creation of simpler data models.  ...  Prototype-based rules are useful addition to the traditional ways of data exploration based on crisp or fuzzy logical rules.  ... 
doi:10.1007/978-3-540-71984-7_11 fatcat:vlfuzhxmgbbqlptp4wnpdty4ae
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