A modified Bayesian neural network integrating stochastic configuration network and ensemble learning strategy

2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)（2021）

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摘要

In this paper, a stochastic configured Bayesian neural network (SCBNN) is proposed for solving regression and classification problems. Firstly, stochastic configuration network (SCN) is applied to extract feature. Then, the stochastic configured scheme is applied to Bayesian neural network (BNN) for obtaining the appropriate structure. The extracted features are combined with the original features...

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关键词

Computational modeling,Neural networks,Stochastic processes,Feature extraction,Bayes methods,Optimization,Cybernetics

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