An intelligent modeling of photovoltaic comparison among NAR, NARX, and nonlinear

2022 ◽  
Author(s):  
Mohammed Ataalah ◽  
Ibtisam A. Hasan ◽  
Mohammed Jawad Mohammed
Keyword(s):  
Intelligent Modeling

scholarly journals Shear Strength of Internal Reinforced Concrete Beam-Column Joints: Intelligent Modeling Approach and Sensitivity Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
De-Cheng Feng ◽  
Bo Fu
Keyword(s):  
Shear Strength ◽  
Reinforced Concrete ◽  
Influence Factors ◽  
Regression Tree ◽  
Reinforced Concrete Beam ◽  
Gradient Boosting ◽  
Intelligent Modeling ◽  
Modeling Approach ◽  
Ensemble Machine Learning ◽  
Strength Models

In this paper, an intelligent modeling approach is presented to predict the shear strength of the internal reinforced concrete (RC) beam-column joints and used to analyze the sensitivity of the influence factors on the shear strength. The proposed approach is established based on the famous boosting-family ensemble machine learning (ML) algorithms, i.e., gradient boosting regression tree (GBRT), which generates a strong predictive model by integrating several weak predictors, which are obtained by the well-known individual ML algorithms, e.g., DT, ANN, and SVM. The strong model is boosted as each weak predictor has its own weight in the final combination according to the performance. Compared with the conventional mechanical-driven shear strength models, e.g., the well-known modified compression field theory (MCFT), the proposed model can avoid the complicated derivation process of shear mechanism and calibration of the involved empirical parameters; thus, it provides a more convenient, fast, and robust alternative way for predicting the shear strength of the internal RC joints. To train and test the GBRT model, a total of 86 internal RC joint specimens are collected from the literatures, and four traditional ML models and the MCFT model are also employed as comparisons. The results indicate that the GBRT model is superior to both the traditional ML models and MCFT model, as its degree-of-fitting is the highest and the predicting dispersion is the lowest. Finally, the model is used to investigate the influences of different parameters on the shear strength of the internal RC joint, and the sensitivity and importance of the corresponding parameters are obtained.

Intelligent modeling strategies for forecasting air quality time series: A review

2021 ◽  
Vol 102 ◽  
pp. 106957
Author(s):  
Hui Liu ◽  
Guangxi Yan ◽  
Zhu Duan ◽  
Chao Chen
Keyword(s):  
Time Series ◽  
Air Quality ◽  
Intelligent Modeling

Intelligent modeling, observation, and control for nonlinear systems

2001 ◽  
Vol 6 (2) ◽  
pp. 122-131 ◽  
Author(s):  
D. Schroder ◽  
C. Hintz ◽  
M. Rau
Keyword(s):  
Nonlinear Systems ◽  
Intelligent Modeling ◽  
And Control

Intelligent modeling and experimental study on methylene blue adsorption by sodium alginate-kaolin beads

2021 ◽  
Author(s):  
Nader Marzban ◽  
Ahmad Moheb ◽  
Svitlana Filonenko ◽  
Seyyed Hossein Hosseini ◽  
Mohammad Javad Nouri ◽  
...  
Keyword(s):  
Experimental Study ◽  
Methylene Blue ◽  
Sodium Alginate ◽  
Methylene Blue Adsorption ◽  
Intelligent Modeling

scholarly journals Intelligent human-machine modeling for enhancing remote learning environments

2021 ◽  
Author(s):  
Jason Yeung
Keyword(s):  
High School ◽  
High School Students ◽  
Learning Environments ◽  
Social Needs ◽  
Hospital Environment ◽  
School Students ◽  
Intelligent Modeling ◽  
Machine Modeling ◽  
Application Sharing ◽  
Development Approach

This thesis describes the design and testing of a videoconferencing system for supporting the academic and social needs of hospitalized high school students. The underlying technologies of PEBBLES (Providing Education by Bringing Learning Environments to Students) were incorporated into the High School PEBBLES Prototype (HSPP) with new functionality such as application sharing and a whiteboard. Laboratory studies were conducted with four groups of high school students in a simulated classroom/hospital environment, assigning them a storyboarding task that encouraged use of the prototype's videoconferencing and application sharing features. The results indicated that the students could work collaboratively through the HSPP, and the students were able to experience presence. Some of the critical requirements for effective presence through videoconferencing were identified. The systems development approach used in this thesis highlights the value of intelligent modeling of systems in order to meet the specific requirements of the users.

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