Abstract
Extreme Learning Machines (ELMs) are gaining fairly popularity in training neural networks, since they are quite simple and have good performance. However, an open problem is the number of neurons in the hidden layer. This paper proposes a method for pruning the hidden layer neurons based on the linear combination of the hidden layer weights and the input data.
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Tavares, L.D., Saldanha, R.R., Vieira, D.A.G., Lisboa, A.C. (2014). A Proposed Extreme Learning Machine Pruning Based on the Linear Combination of the Input Data and the Output Layer Weights. In: Corchado, E., Lozano, J.A., Quintián, H., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2014. IDEAL 2014. Lecture Notes in Computer Science, vol 8669. Springer, Cham. https://doi.org/10.1007/978-3-319-10840-7_43
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DOI: https://doi.org/10.1007/978-3-319-10840-7_43
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10839-1
Online ISBN: 978-3-319-10840-7
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