Stochastic Configuration Networks: Fundamentals and Algorithms
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2017.2734043
Abstract: This paper contributes to the development of randomized methods for neural networks. The proposed learner model is generated incrementally by stochastic configuration (SC) algorithms, termed SC networks (SCNs). In contrast to the existing randomized learning… read more here.
Keywords: networks fundamentals; configuration; configuration networks; fundamentals algorithms ... See more keywords
2-D Stochastic Configuration Networks for Image Data Analytics
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2925883
Abstract: Stochastic configuration networks (SCNs) as a class of randomized learner model have been successfully employed in data analytics due to its universal approximation capability and fast modeling property. The technical essence lies in stochastically configuring… read more here.
Keywords: image data; data analytics; configuration networks; image ... See more keywords