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Extreme learning machine (ELM) is a learning algorithm for generalized single-hidden-layer feed-forward networks (SLFNs). In order to obtain a suitable network architecture, Incremental Extreme Learning Machine (I-ELM) is a sort of ELM constructing SLFNs by adding hidden nodes one by one. Although kinds of I-ELM-class algorithms were proposed to improve the convergence rate or to obtain minimal training...
According to the complexity of economy-environment system and many environmental indicators, which influence the development of economy, we first use principal component analysis (PCA) to realize the dimension reduction of the environmental indicators. Then a non-linear method - support vector regression (SVR), which is a part of support vector machine (SVM) is used to establish the forecast model...
Based on statistical learning theory (SLT), support vector machine (SVM), which is a new kind of machine learning method that is used for classification and regression. SVM is considered as two layers learning machine since it maps the original space into a high dimensional feature space, i.e., input layer and high dimensional feature space layer. If the high dimensional feature space layer is considered...
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