Online learning using deep random vector functional link network by Shiva, Sreenivasan, Hu, Minghui, Suganthan, Ponnuthurai Nagaratnam

“…As opposed to backpropagation-based neural networks that adjust weights iteratively, RVFL uses a closed-form solution method without iterative parameter learning. …”
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Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes by Li, Zhaoyang, Han, Minghao, Vo, Dat-Nguyen, Yin, Xunyuan

“…To bypass non-convex optimization induced by the nonlinearity in the Koopman model, we further present an iterative implementation algorithm, which approximates the optimal control input via solving a convex optimization problem iteratively. …”
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Time-evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California by Tong, Ping, Yang, Dinghui, Li, Dongzhuo, Liu, Qinya

“…In each time window the subsurface velocity structure is iteratively updated. Starting from the final model of the first time window, the velocity model has been successively improved throughout iterations in the second time window, indicating that the traveltime data of later time windows have provided extra information to refine the subsurface images. …”
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Support vector machine and its difficulties from control field of view by Yalsavar, Maryam, Karimaghaei, Paknoosh, Sheikh-Akbari, Akbar, Shukla, Pancham, Setoodeh, Peyman

“…In this paper, SVM is redefined as a control system and Iterative Learning Control (ILC) method is used to optimize SVM’s kernel parameter. …”
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A new hybrid GA−ACO−PSO algorithm for solving various engineering design problems by Tam, Jun Hui, Ong, Zhi Chao, Ismail, Zubaidah, Ang, Bee Chin, Khoo, Shin Yee

“…Besides, distinctive crossover and mutation operators are introduced, in which, two types of mutation operators, namely, standard mutation and refined mutation are suggested. In early iterations, standard mutation is utilized collaboratively with the concept of unrepeated tours of ACO to evade local entrapment, while refined mutation is used in later iterations to supplement the exploitative search, which is mainly controlled by particle swarm optimization. …”

Hybrid path planning for indoor robot with Laplacian Behaviour-based control via four point-explicit group by Azali Saudi, Jumat Sulaiman

“…In this paper, the solution to Laplace’s equation is calculated via Four Point-Explicit Group (4EG) iterative method for rapid computation compared to the traditional point Gauss-Seidel iteration.…”
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After Jokowi’s First Term – Indo-Pacific or Pacindo : Does It Matter? by Pattiradjawane, René L.

“…As President Joko Widodo enters his second term, what is the future of Pacindo, the Indonesian iteration of the idea?…”
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On the interval zoro symmetric single step procedure IZSS2-5D for simultaneous bounding of simple polynomial zeros by Jamaludin, Noraini, Monsi, Mansor, Hassan, Nasruddin

“…The numerical results using five test polynomials contributed to shorter CPU times and reduced number of iterations.…”
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Web based cache and virtual memory simulator by Chua, Yi Xiang

“…This study presents the iterative development of an educational simulator for cache and virtual memory. …”
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AI-based solar PV power forecasting by Wang, Yi Fan

“…My experimental results show that LSTM performs well in predicting PV power, especially when the amount of data is small and the number of iterations is large. However, LSTM takes longer to train and requires more computing resources.…”
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Variable structure control with applications to T-S fuzzy systems by Khoo, Sui Yang

“…In this scheme, the Mamdani fuzzy logic-based approximator is first employed to learn the system uncertainties in Lyapunov sense, i.e., the weights are adaptively adjusted so that the output tracking error can asymptotically converge to zero according to the second method of Lyapunov stability. The iterative MSSC design is then carried out to ensure closed-loop stability. …”
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A MS-Excel user friendly tool for the calculation of effective section area for class 4 slender steel section by Yap, Lester Yi Xian

“…For clarity and understanding, the methods and equations adopted for the iterative procedure will be analysed in sequential order. …”
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A study of deep learning on many-core processors by Guo, Jintao

“…The relationship between the training iteration and training accuracy has been investigated during the project. …”
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Modeling, analysis and voltage balancing for DC distribution networks by Chew, Benjamin Si Hao

“…This dissertation examines the DC distribution power flow model using the iterative and nodal analysis based approach. The iterative based approach is used to evaluate the steady-state power losses and determine the system performances for variations of DC LED lighting system. …”
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DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION by , ZAWIYAH SAHARUNA, , Widyawan, S.T., M. Sc., Ph.D.

“…The rate of convergence in the first scenario occurs after 23 iterations and the second scenario after 29 iterations. …”

Pengaruh Potongan Harga pada Sistem Inventori (Q,R) yang Mempertimbangkan Ketergantungan antara Lot Size dan Lead Time. by Perpustakaan UGM, i-lib

“…A numerical example is provided to clarib) the iteration procedure. In addition, we ident the effect of shop floor queing factor on lot size decision. …”

Resolving Spatial Conflicts In Computer-Generated Collision Diagrams For Road Accident Analysis by Mahmud, Ahmad Rodzi

“…The changes made are always tentative, iterative and subjective. It is also a time consuming process, as the draughtsman need to decide the right and accurate symbols to be presented. …”
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Multiple scenarios multi-objective salp swarm optimization for sizing of standalone photovoltaic system by Ridha, Hussein Mohammed, Gomes, Chandima, Hizam, Hashim, Mirjalili, Seyedali

“…The proposed three scenarios are faster than iterative approach approximately by 158, 194.2, and 141.6 times, respectively. …”
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Development Of Interaction Test Data Generation Strategy With Input-Output Mapping Supports by Ong, Hui Yeh

“…Lastly, the post-processing automated input-output mapping support and flexible iteration control capability are evaluated with experiments.…”
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Improving perfomance in single-link flexible manipulator using hybrid learning control by Md. Zain, Mohd. Zarhamdy, Tokhi, M. O., Mailah, Musa, Mohamed, Zaharuddin

“…An iterative learning control method for a single-link flexible manipulator is proposed to achieve precise tracking control and end-point vibration suppression of the system. …”
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