An Incremental Extreme Learning Machine Prediction Method Based on Attenuated Regularization Term
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-09726-3_17
Reference18 articles.
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2. Feng, G.R., Huang, G.B., Lin, Q.P., Gay, R.: Error minimized extreme learning machine with growth of hidden nodes and incremental learning. IEEE Trans. Neural Netw. 20(8), 1352–1357 (2009)
3. Geng, Z., Dong, J., Chen, J., Han, Y.: A new self-organizing extreme learning machine soft sensor model and its applications in complicated chemical processes. Eng. Appl. Artif. Intell. 62, 38–50 (2017)
4. Huang, G.B., Chen, L., Siew, C.K.: Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Trans. Neural Netw. 17(4), 879–892 (2006)
5. Huang, G.B., Chen, L., Siew, C.K.: Convex incremental extreme learning machine. Neurocomputing 70(16–18), 3056–3062 (2007)
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