Results 11 to 20 of about 298,697 (259)
Assessing Compressive Strength of Concrete with Extreme Learning Machine [PDF]
Journal of Soft Computing in Civil Engineering, 2021 Manual estimation of compressive strength of concrete (CSC) is time consuming and expensive. Soft computing techniques are found better to statistical methods applied to this problem. However, sophisticated prediction models are still lacking and need to
Sarat Nayak, Sanjib Nayak, Sanjay Panda
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Comparison of the function of ELM and RBF models for estimating the porosity of the Asmari Formation, in one of the offshore fields of the northwest Persian Gulf [PDF]
Journal of Stratigraphy and Sedimentology Researches, 2023 Nowadays, the use of artificial intelligence is common to increase the accuracy of the study and, close to reality, is used in the oil industry to increase the accuracy of studying and understanding the relationship between various parameters.
Farshad Tofighi +3 more
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Big data analytics for relative humidity time series forecasting based on the LSTM network and ELM
IJAIN (International Journal of Advances in Intelligent Informatics), 2023 Accurate and reliable relative humidity forecasting is important when evaluating the impacts of climate change on humans and ecosystems. However, the complex interactions among geophysical parameters are challenging and may result in inaccurate weather ...
Kurnianingsih Kurnianingsih +6 more
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Prediction of groundwater level fluctuation using methods based on machine learning and numerical model [PDF]
Journal of Applied Research in Water and Wastewater, 2023 During the recent few decades, the use of various models has been regarded as a promising option to predict groundwater level (GWL) in any given region using a wide variety of data and relevant equations. The lack of trustworthy and comprehensive data is,
Ayoob Moradi +2 more
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FORMakademisk, 2023 Sweden's fauna and flora are constantly changing. Humans have not only deliberately promoted and introduced new species in horticulture, agriculture and forestry, they have also acted as a vector for the introduction of alien species through, for example,
Anna-Karin Arvidsson
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Optimization of injection molding process parameters based on GA-ELM-GA [PDF]
MATEC Web of Conferences, 2022 The most common optimization method for the optimization of injection mold process parameters is range analysis, but there is often a nonlinear coupling relationship between injection molding process parameters and quality indicators.
Mei Yi, Xue Maoyuan
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Ensemble Classifier untuk Klasifikasi Kanker Payudara
IT Journal Research and Development, 2019 Kanker payudara merupakan jenis kanker yang paling banyak diderita oleh kaum wanita di Indonesia. Penyakit tersebut dapat berakibat pada kematian jika terlambat ditangani.
Khadijah Khadijah, Retno Kusumaningrum
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Adaptive Online Sequential ELM for Concept Drift Tackling [PDF]
, 2016 A machine learning method needs to adapt to over time changes in the environment. Such changes are known as concept drift. In this paper, we propose concept drift tackling method as an enhancement of Online Sequential Extreme Learning Machine (OS-ELM ...
Basaruddin, Chan +2 more
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Energies, 2019 Carbon price forecasting is significant to both policy makers and market participants. However, since the complex characteristics of carbon prices are affected by many factors, it may be hard for a single prediction model to obtain high-precision results.
Xing Zhang +2 more
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Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image [PDF]
, 2017 As a new machine learning approach, extreme learning machine (ELM) has received wide attentions due to its good performances. However, when directly applied to the hyperspectral image (HSI) classification, the recognition rate is too low. This is because
Cao, Faxian +4 more
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