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SK Safdar Hossain, Bamidele Victor Ayodele, Zaid Abdulhamid Alhulaybi and Muhammad Mudassir Ahmad Alwi
This study explored the feasibility of various multilayer perceptron configurations for modeling biohydrogen production from biodiesel production waste. Based on the best model, knowledge of how various parameters influence biohydrogen production can be ...
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Bangchu Zhang, Yiyong Liang, Shuitao Rao, Yu Kuang and Weiyu Zhu
In hypersonic flight control, characterized by challenges posed by input saturation, model parameter uncertainties, and external disturbances, this paper introduces a pioneering anti-input saturation control method based on RBFNN adaptivity. We have deve...
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Venkataramana Veeramsetty, Prabhu Kiran, Munjampally Sushma and Surender Reddy Salkuti
Weather forecasting is an essential task in any region of the world for proper planning of various sectors that are affected by climate change. In Warangal, most sectors, such as agriculture and electricity, are mainly influenced by climate conditions. I...
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Yang Liu, Nam-kyun Im, Qiang Zhang and Guibing Zhu
This paper investigates the automatic berthing problem of underactuated surface vessels in the case of uncertain dynamics and yaw rate limitation, given the importance of yaw rate control and the unmeasurable hydrodynamic parameters of the vessel at low ...
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Yunfei Yang, Haiwen Tu, Lei Song, Lin Chen, De Xie and Jianglong Sun
Resistance is one of the important performance indicators of ships. In this paper, a prediction method based on the Radial Basis Function neural network (RBFNN) is proposed to predict the resistance of a 13500 transmission extension unit (13500TEU) conta...
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Hugan Zhang, Xianku Zhang and Renxiang Bu
In the process of ship navigation, due to the characteristics of large inertia and large time delay, overshoot can easily occur in the process of path following. Once the ship deviates from the waypoint, it is prone to grounding and collision. Considerin...
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Chang-Yong Song
Meta-model sre generally applied to approximate multi-objective optimization, reliability analysis, reliability based design optimization, etc., not only in order to improve the efficiencies of numerical calculation and convergence, but also to facilitat...
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Mohammad Javad Moradi, Mohammad Mahdi Roshani, Amirhosein Shabani and Mahdi Kioumarsi
As a lateral load-bearing system, the steel plate shear wall (SPSW) is utilized in different structural systems that are susceptible to seismic risk and because of functional reasons SPSWs may need openings. In this research, the effects of rectangular o...
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Xinxiang Lei, Wei Chen and Binh Thai Pham
The main purpose of this study was to apply the novel bivariate weights-of-evidence-based SysFor (SF) for landslide susceptibility mapping, and two machine learning techniques, namely the naïve Bayes (NB) and Radial basis function networks (RBFNetwork), ...
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Renqiang Wang, Donglou Li and Keyin Miao
To improve the tracking stability control of unmanned surface vehicles (USVs), an intelligent control algorithm was proposed on the basis of an optimized radial basis function (RBF) neural network. The design process was as follows. First, the adaptation...
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In this article, a novel maximum power point tracking (MPPT) controller for a photovoltaic (PV) system is presented. The proposed MPPT controller was designed in order to extract the maximum of power from the PV-module and reduce the oscillations once th...
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Duc-Thien Tran, Hoai-Vu-Anh Truong and Kyoung Kwan Ahn
In this paper, an adaptive robust control is investigated in order to deal with the unmatched and matched uncertainties in the manipulator dynamics and the actuator dynamics, respectively. Because these uncertainties usually include smooth and unsmooth f...
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Hossein Komijani, Sepideh Rezaeihassanabadi, Mohammad Reza Parsaei, Saeed Maleki
Pág. 128 - 132
Simulation and preparing predictive model of electrochemical impedance Nyquist plots based on radial basis function neural network (RBFNN) are presented in this paper. The RBFNN as a powerful predictive system predicts the real and imaginary parts of imp...
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Qiang Fu, Dong Liu, Tianxiao Li, Song Cui and Yuxiang Hu
The accurate and reliable prediction of groundwater depth is the basis of the sustainable utilization of regional groundwater resources. However, the complexity of the prediction has been ignored in previous studies of regional groundwater depth system a...
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Qiang Fu, Dong Liu, Tianxiao Li, Song Cui, Yuxiang Hu
Pág. 1 - 16
The accurate and reliable prediction of groundwater depth is the basis of the sustainable utilization of regional groundwater resources. However, the complexity of the prediction has been ignored in previous studies of regional groundwater depth system a...
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Shaoyong Han, Zhun Zhu, Mina Mortazavi, Ahmed M. El-Sherbeeny and Peyman Mehrabi
The aim of this paper is to study the performance of a composite floor system at different heat stages using artificial intelligence to derive a sustainable design and to select the most critical factors for a sustainable floor system at elevated tempera...
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Wen-Yeau Chang
High penetration of wind power in the electricity system provides many challenges to power system operators, mainly due to the unpredictability and variability of wind power generation. Although wind energy may not be dispatched, an accurate forecasting ...
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Song Xue, Jingyan Chen, Sheng Li and Huaai Huang
Early warning of safety risks downstream of small reservoirs is directly related to the safety of people?s lives and property and the economic and social development of the region. The lack of data and low collaboration in downstream safety management of...
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Jian Cao, Yang Zhang, Chuanyu Ju, Xinyi Xue and Jiyuan Zhang
With the continuous development of the space industry, the demand for low-gravity simulation experiments on the ground for spacecraft is increasing, to overcome the gravity compensation of spacecraft on the ground tests. This paper presents a new low-gra...
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Ke Wang, Yong Liu, Chengwei Huang and Wei Bao
When a cross-domain robot (CDR) flies on the water surface, the large pitch angle and roll angle may lead to water flooding into the robot cabin or even overturning. In addition, the CDR is influenced by some uncertain parameters and external disturbance...
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