Extreme learning machines: a survey

Keywords

Extreme learning machine, Computational intelligence, Computer science, Generalization, Artificial intelligence

References

• A Neuro-Fuzzy Inference System Through Integration of Fuzzy Logic and Extreme Learning MachinesMihai Caleap — 2007
• Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive NetworksDavid S. Broomhead, David Lowe — 1988
• Advanced Calculus: An Introduction to Modern AnalysisWilliam Voxman, Roy H. Goetschel — 1981
• Learning representations by back-propagating errorsDavid E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams — 1986
• A comparison of methods for multiclass support vector machinesChih‐Wei Hsu, Chih‐Jen Lin — 2002
• Least Squares Support Vector Machine ClassifiersJohan A. K. Suykens, Joos Vandewalle — 1999
• Matrices: Theory and ApplicationsD. Serre — 2002
• RSVM: Reduced Support Vector MachinesYuh‐Jye Lee, O. L. Mangasarian — 2001
• There exists a neural network that does not make avoidable mistakesGallant, White — 1988
• Adaptive radial basis function nonlinearities, and the problem of generalisationDavid Lowe — 1989
• Training multilayer networks with discrete activation functionsVassilis P. Plagianakos, George D. Magoulas, N.K. Nousis — 2001
• A tutorial on support vector regressionAlex Smola, Bernhard Schölkopf — 2004
• A Function Estimation Approach to Sequential Learning with Neural NetworksVisakan Kadirkamanathan, Mahesan Niranjan — 1993
• Sensory System for Implementing a Human—Computer Interface Based on ElectrooculographyRafael Barea, Luciano Boquete, J.M. Rodríguez-Ascariz — 2010
• On the approximate realization of continuous mappings by neural networksKen-ichi Funahashi — 1989
• A new online learning algorithm for structure-adjustable extreme learning machineLI Guo-hu, Min Liu, Mingyu Dong — 2010
• An iterative method for training multilayer networks with threshold functionsEdward Corwin, Alessandro Logar, William J. B. Oldham — 1994
• Improved RAN sequential prediction using orthogonal techniquesMoisés Salmerón, Julio Ortega, Carlos G. Puntonet — 2001
• Matrix computations (3rd ed.)Gene H. Golub, Charles F. Van Loan — 1996
• A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural NetworksLu Yingwei, N. Sundararajan, P. Saratchandran — 1997

Cited by

• A robust and reliable data-driven prognostics approach based on Extreme Learning Machine and Fuzzy ClusteringKamran Javed — 2014
• Dynamic texture video classification using extreme learning machineLiuyang Wang, Huaping Liu, Fuchun Sun — 2016
• Adaptive control of nonlinear system using online error minimum neural networks.Tomas Engström, Dan Jönsson, Lars Medbo — 2016
• A multiple kernel classification approach based on a Quadratic Successive Geometric Segmentation methodology with a fault diagnosis case.Irina Kataeva — 2018
• An online sequential extreme learning machine for tidal prediction based on improved Gath-Geva fuzzy segmentationJianchuan Yin, Nini Wang — 2016
• Multithreshold Entropy Linear Classifier: Theory and applicationsWojciech Marian Czarnecki, Jacek Tabor — 2014
• Design and Analysis of A New Illumination Invariant Human Face Recognition SystemA. Baradarani — 2012
• A TECHNIQUE OF IMAGE COMPRESSION BASED ON DISCRETE WAVELET IMAGE DECOMPOSITION AND SELF ORGANIZING MAPMegha Sharma, Rashmi Kuamri — 2014
• An Evaluation of Classification Performance for Facial Analytics on Diverse DatasetsJeffrey Raynor, Karl Ricanek, Bryan Reinicke — 2013
• Biometric face recognition using multilinear projection and artificial intelligenceAbeer A. Mohamad Alshiha — 2013
• Extreme learning machine based supervised subspace learningAlexandros Iosifidis — 2015
• Robust Visual Knowledge Transfer via EDALei Zhang, David Zhang — 2015
• Determination of rock depth using artificial intelligence techniquesR. Viswanathan, Pijush Samui — 2016
• Kalman filter-based method for Online Sequential Extreme Learning Machine for regression problemsJarley P. Nóbrega, Adriano L. I. Oliveira — 2015
• Many regression algorithms, one unified model: A reviewFreek Stulp, Olivier Sigaud — 2015
• Locality-sensitive hashing for region-based large-scale image indexingAbir Gallas, Walid Barhoumi, Neila Kacem — 2015
• An improved cuckoo search based extreme learning machine for medical data classificationPuspanjali Mohapatra, Sujata Chakravarty, Priyabrata Dash — 2015
• Comparative analysis of strategies for feature extraction and classification in SSVEP BCIsSarah N. Carvalho, Thiago Bulhões da Silva Costa, Luisa Fernanda Suárez Uribe — 2015
• A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement.Yan‐Lin He, Zhiqiang Geng, Yuan Xu — 2015
• Discriminative clustering via extreme learning machineGao Huang, Tianchi Liu, Yan Yang — 2015

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