نتایج جستجو برای: extreme learning machine
تعداد نتایج: 819581 فیلتر نتایج به سال:
A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic nose (e-nose) datasets. Being different from the existing multiple kernel extreme learning machine (MK-ELM) algorithms, the combination coeffi...
عیب یابی یکی از شاخه های کنترل سلامت سازه ها می باشدکه با توجه به لزوم تشخیص به موقع خرابی ها و جلوگیری از پیشرفت آن ها، یکی از فعال ترین زمینه های تحقیقاتی است. وقوع آسیب در سازه ها باعث تغییر جرم ، سختی و خواص میرایی سازه گردیده و در پی آن ، پاسخ های استاتیکی و دینامیکی سیستم نیز تغییر می کند. امروزه ، بیشتر تحقیقات بر اساس حداقل سازی اختلاف پاسخ سازه سالم و خراب ، انجام می گیرد.در این پژوهش ...
In this study, the discharge coefficient of side weirs located on converging channels was simulated for the first time using a new method of Extreme Learning Machine (ELM). To examine the accuracy of the numerical model, the Monte Carlo simulations were used and the experimental values validation was conducted by the k-fold cross validation method. Then, the input parameters were detected for s...
In this research, the scour hole depth at the downstream of cross-vane structures with different shapes (i.e., J, I, U, and W) was simulated utilizing a modern artificial intelligence method entitled "Outlier Robust Extreme Learning Machine (ORELM)". The observational data were divided into two groups: training (70%) and test (30%). Then, using the input parameters including the ratio of the st...
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 ...
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...
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