Results 21 to 30 of about 539,396 (266)

Random Search Hyperparameter Optimization for BPNN to Forecasting Cattle Population [PDF]

E3S Web of Conferences
Backpropagation Neural Network (BPNN) is a suitable method for predicting the future. It has weaknesses, namely poor convergence speed and instability, requiring parameter tuning to overcome speed problems, and having a high bias.
Khotimah Bain Khusnul, Agustina Fitri, Puspitarini Oktavia Rahayu, Husni, Anamisa Devie Rosa, Prayugo Natasha, Putri Aisyah Meta Sari   +6 more
doaj   +1 more source

Time Series Forecasting of Motor Bearing Vibration Based on Informer

Sensors, 2022
Electric energy, as an economical and clean energy, plays a significant role in the development of science and technology and the economy. The motor is the core equipment of the power station; therefore, monitoring the motor vibration and predicting time
Zhengqiang Yang, Linyue Liu, Ning Li, Junwei Tian   +3 more
doaj   +1 more source

Inverse Evaluation of Monopile Pile–Soil Interaction Parameters Using Random Search

Journal of Marine Science and Engineering, 2023
To deal with the uncertainties in modeling offshore wind turbines, we propose a parameter inversion method for the pile–soil interaction model based on structural health monitoring results and the numerical model.
Hou Qiao, Wei Li, Zhenqiang Jiang, Xi Sheng, Chuanrui Guo   +4 more
doaj   +1 more source

A Comparative Analysis of Hyperparameter Tuned Stochastic Short Term Load Forecasting for Power System Operator

Energies, 2023
Intermittency in the grid creates operational issues for power system operators (PSO). One such intermittent parameter is load. Accurate prediction of the load is the key to proper planning of the power system.
B. V. Surya Vardhan, Mohan Khedkar, Ishan Srivastava, Prajwal Thakre, Neeraj Dhanraj Bokde   +4 more
doaj   +1 more source

Greedy Randomized Adaptive Search Procedures [PDF]

Journal of Global Optimization, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Feo, Thomas A., Resende, Mauricio G. C.
openaire   +1 more source

An Optimization Framework for Wind Farm Design in Complex Terrain

Applied Sciences, 2018
Designing wind farms in complex terrain is an important task, especially for countries with a large portion of complex terrain territory. To tackle this task, an optimization framework is developed in this study, which combines the solution from a wind ...
Ju Feng, Wen Zhong Shen, Ye Li
doaj   +1 more source

Optimal Design of Smooth Shells both With and Without Taking into Account Initial Imperfections [PDF]

Journal of Mechanical Engineering, 2020
This paper considers the application of the random search method for the optimal design of both axially-compressed smooth cylindrical ideal thin-walled shells and a shell with initial imperfections.
Heorhii V. Filatov
doaj   +1 more source

Research on stock trend prediction method based on optimized random forest

CAAI Transactions on Intelligence Technology, 2023
As a complex hot problem in the financial field, stock trend forecasting uses a large amount of data and many related indicators; hence it is difficult to obtain sustainable and effective results only by relying on empirical analysis.
Lili Yin, Benling Li, Peng Li, Rubo Zhang   +3 more
doaj   +1 more source

Stock Price Movement Classification Using Ensembled Model of Long Short-Term Memory (LSTM) and Random Forest (RF)

JOIV: International Journal on Informatics Visualization, 2023
Stock investing is known worldwide as a passive income available for everyone. To increase the profit possibly gained, many researchers and investors brainstorm to gain a strategy with the most profit.
Albertus Emilio Kurniajaya Gunawan, Antoni Wibowo   +1 more
doaj   +1 more source

Ab initiorandom structure searching [PDF]

Journal of Physics: Condensed Matter, 2011
44 pages, 23 ...
Pickard, Chris J., Needs, R. J.
openaire   +3 more sources