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Adaptive neuro fuzzy inference system
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An adaptive neuro-fuzzy inference system or adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is basedFuzzy associative matrix (513 words) [view diff] exact match in snippet view article find links to article
matrix of any number of dimensions is possible. From the perspective of neuro-fuzzy systems, the mathematical matrix is called a "Fuzzy associative memory"International Journal of Computational Intelligence and Applications (73 words) [view diff] exact match in snippet view article find links to article
computational intelligence based techniques could be discussed", such as neuro-fuzzy or evolutionary-symbolic combinations. The journal is abstracted andSankar Kumar Pal (2,317 words) [view diff] exact match in snippet view article find links to article
intelligence. He pioneered the development of fuzzy set theory, and neuro-fuzzy and rough-fuzzy computing for uncertainty modelling with demonstrationElectric energy consumption (1,776 words) [view diff] exact match in snippet view article find links to article
commercial and public services sectors. A sensitivity analysis on an adaptive neuro-fuzzy network model for electric demand estimation shows that employment isDavid Ting (academic) (1,146 words) [view diff] case mismatch in snippet view article
Along with his graduate students and colleague, they used Adaptive Neuro-Fuzzy Inference System and imputation techniques to determine the wind turbineMachine learning control (704 words) [view diff] exact match in snippet view article find links to article
050801, pp. 1-48. J. Javadi-Moghaddam, & A. Bagheri (2010 "An adaptive neuro-fuzzy sliding mode based genetic algorithm control system for under water remotelyJapanese rice (1,487 words) [view diff] no match in snippet view article find links to article
related to Rice of Japan. Nori Onigiri Paddy field Sushi "Zojirushi Neuro Fuzzy Micom Rice Cooker/Warmer Operating Instructions" (PDF). Zojirushi CorporationStigmergy (2,224 words) [view diff] exact match in snippet view article find links to article
enabling collaborative situation awareness via position-based stigmergy and neuro-fuzzy learning, Neurocomputing, Vol. 135 (2014) pp. 86-97 Mario G.C.A. CiminoCătălin Bălescu (1,963 words) [view diff] case mismatch in snippet view article find links to article
”Refinement of Clustering Solutions Using a Multi-Label Voting Algorithm for Neuro-Fuzzy Ensembles,” Procs. of The First International Conference on Natural ComputationNikola Kasabov (2,341 words) [view diff] exact match in snippet view article find links to article
framework by introducing the Dynamic Evolving Neuro-Fuzzy Inference System (DENFIS), an online learning neuro-fuzzy method and the Evolving Fuzzy Neural NetworkArtificial muscle (2,392 words) [view diff] exact match in snippet view article find links to article
1994), neural network/nonlinear PID control (Ahn and Thanh, 2005), and neuro-fuzzy/genetic control (Chan et al., 2003; Lilly et al., 2003). Control problemsJarl-Thure Eriksson (1,036 words) [view diff] exact match in snippet view article find links to article
Hawaij, 1993, pp. 799–802. Co-authors: J. Perttula, T. Tarhasaari. A neuro-fuzzy controller and learning algorithm for wind turbines. Proc. of ICSPATJózef Korbicz (849 words) [view diff] exact match in snippet view article find links to article
artificial intelligence methods and techniques: artificial neural networks, neuro-fuzzy systems, expert systems, evolutionary computations modelling and simulationOutline of machine learning (3,582 words) [view diff] no match in snippet view article find links to article
model learning Activation function Activity recognition ADALINE Adaptive neuro fuzzy inference system Adaptive resonance theory Additive smoothing AdjustedBiswajeet Pradhan (1,482 words) [view diff] exact match in snippet view article find links to article
predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS". Computers & GeosciencesKarim Ouazzane (888 words) [view diff] exact match in snippet view article find links to article
(ICDIPC2013) ISBN 978-0-9853483-3-5, pp 310. H.kazemian and K.Ouazzane (2012) 'Neuro-fuzzy approach to video transmission over Zigbee; Neurocomputing journal, DOI:Self-microemulsifying drug delivery system (3,176 words) [view diff] exact match in snippet view article find links to article
self-emulsifying drug delivery systems combining the dynamic lipolysis model and neuro-fuzzy networks". Eur J Pharm Biopharm. 69 (3): 887–98. doi:10.1016/j.ejpb.2008Lateral computing (4,212 words) [view diff] case mismatch in snippet view article find links to article
Publishers. Jyh-Shing Roger Jang, Chuen-Tsai Sun & Eiji Mizutani (1997); Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and MachineList of fellows of IEEE Computational Intelligence Society (65 words) [view diff] exact match in snippet view article find links to article
learning and its applications 2012 Mitra, Sushmita For contributions to neuro-fuzzy and hybrid approaches in pattern recognition 2012 Olivo-marin, Jean-christopheNeural network (machine learning) (16,980 words) [view diff] case mismatch in snippet view article
Clarendon Press. ISBN 978-0-19-853849-3. OCLC 33101074. Borgelt C (2003). Neuro-Fuzzy-Systeme: von den Grundlagen künstlicher Neuronaler Netze zur KopplungQuantium Medical Cardiac Output (3,550 words) [view diff] case mismatch in snippet view article find links to article
respiration) and the high-frequency signal. Also, it features Adaptive Neuro-Fuzzy Inference System (ANFIS), for higher accuracy, which is able to obliterateCellular neural network (10,029 words) [view diff] no match in snippet view article find links to article
Gunay, M. Alci and S. Parmaksizoglu, "N-Scroll Generation in SC-CNN via Neuro Fuzzy Based Non-Linear Function", Int’l Workshop on Cellular Neural NetworksLevel crossing (2,861 words) [view diff] exact match in snippet view article find links to article
level crossings for safety improvements: Application of the adaptive neuro-fuzzy system". Expert Systems with Applications. 40 (6): 2208–2223. doi:10