Abstract
In this chapter, a novel least squares support vector machine (LS-SVM) method is developed for modeling unknown forging processes across multiple working regions. The proposed method integrates the advantages of local LS-SVM modeling and global regularization. Local LS-SVM modeling is performed to capture the local dynamics of each local working region. Global regularization is performed to minimize the global error and improve the global generalization of the local models. These features guarantee continuity and smoothness between the local LS-SVM models and avoid over-fitting of each local LS-SVM model. The algorithm developed here is simple and can represent the complex forging process across multiple working regions well.
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Lu, X., Huang, M. (2018). Novel LS-SVM Modeling Method for Forging Processes with Multiple Localized Solutions. In: Modeling, Analysis and Control of Hydraulic Actuator for Forging. Springer, Singapore. https://doi.org/10.1007/978-981-10-5583-6_5
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DOI: https://doi.org/10.1007/978-981-10-5583-6_5
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