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Mahsa Yousefi and Ángeles Martínez
While first-order methods are popular for solving optimization problems arising in deep learning, they come with some acute deficiencies. To overcome these shortcomings, there has been recent interest in introducing second-order information through quasi...
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Ishaq Hafez and Rached Dhaouadi
This study presents hybrid particle swarm optimization with quasi-Newton (HPSO-QN), a hybrid optimization method for accurately identifying mechanical parameters in two-mass model (2MM) systems. These systems are commonly used to model and control high-p...
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Chao Wang, Jianhui Xu, Yuefeng Li, Tuanhui Wang and Qiwei Wang
Rockbursts are serious threats to the safe production of mining, resulting in great casualties and property losses. The accurate prediction of rockburst is an important premise that influences the safety and health of miners. As a classical machine learn...
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Vladimir Milic, Josip Kasac and Marin Lukas
This paper presents an approach for the solution of a zero-sum differential game associated with a nonlinear state-feedback H8
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control problem. Instead of using the approximation methods for solving the corresponding Hamilton?Jacobi?Isaacs (HJI) par...
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Joseph Isabona, Agbotiname Lucky Imoize, Oluwasayo Akinloye Akinwumi, Okiemute Roberts Omasheye, Emughedi Oghu, Cheng-Chi Lee and Chun-Ta Li
Benchmarking different optimization algorithms is tasky, particularly for network-based cellular communication systems. The design and management process of these systems involves many stochastic variables and complex design parameters that demand an unb...
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S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio and Hideki Asai
Gradient-based methods are popularly used in training neural networks and can be broadly categorized into first and second order methods. Second order methods have shown to have better convergence compared to first order methods, especially in solving hi...
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Wisanlaya Pornprakun, Surattana Sungnul, Chanakarn Kiataramkul and Elvin James Moore
The sugar industry is of great importance to the Thai economy. In general, the government sets sugarcane prices at the beginning of each harvesting season based on type (fresh or fired), sweetness (sugar content) and gross weight. The main aim of the pre...
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Jegalakshimi Jewaratnam
Pág. 31
A multilayer feedforward neural network (MFNN) model is developed from the best performing backpropagation training algorithm among all eleven training algorithms. From experimental setup of microwave pyrolysis of oil palm fibre, the model utilized the i...
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Veysel Akyuncu,Mucteba Uysal,Harun Tanyildizi,Mansur Sumer
Pág. 337 - 353
This paper presents the modeling of an experimental investigation carried out to evaluate some mechanical and durability properties of concrete mixtures in which cement was partially replaced with Class C and Class F fly ash. A total of 39 mixtures with ...
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D.S. Kurennoy
Pág. 9 - 21
The key mechanisms to determine the effectiveness of bank's activities is the credit risk management. One of the main procedures recommended to banks for risk assessment is reverse stress testing. Reverse stress testing is the construction of realistic s...
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