نتایج جستجو برای: rough extreme learning machine
تعداد نتایج: 842991 فیلتر نتایج به سال:
exploiting multimodal information like acceleration and heart rate is a promising method to achieve human action recognition. a semi-supervised action recognition approach aucc (action understanding with combinational classifier) using the diversity of base classifiers to create a high-quality ensemble for multimodal human action recognition is proposed in this paper. furthermore, both labeled ...
Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
Rapid prototyping (RP) methods are used for production easily and quickly of a scale model of a physical part or assembly. Gas metal arc welding (GMAW) is a widespread process used for rapid prototyping of metallic parts. In this process, in order to obtain a desired welding geometry, it is very important to predict the weld bead geometry based on the input process parameters, which are voltage...
Abstract As a special deep learning algorithm, the multilayer extreme machine (ML-ELM) has been extensively studied to solve practical problems in recent years. The ML-ELM is constructed from autoencoder (ELM-AE), and its generalization performance affected by representation of ELM-AE. However, given label information, unsupervised ELM-AE difficult build discriminative feature space for classif...
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