Results 21 to 30 of about 609,466 (311)
Optimum Design of Reinforced Cylindrical Shells Under Combined Axial Compression and Internal Pressure [PDF]
Journal of Mechanical Engineering, 2021 This paper discusses the use of the random search method for the optimal design of single-layered rib-reinforced cylindrical shells under combined axial compression and internal pressure with account taken of the elastic-plastic material behavior.
Heorhii V. Filatov
doaj +1 more source
Random Search Hyperparameter Optimization for BPNN to Forecasting Cattle Population [PDF]
E3S Web of ConferencesBackpropagation 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 +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 +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 +4 more
doaj +1 more source
Searching for nodes in random graphs [PDF]
Physical Review E, 2011 We consider the problem of searching for a node on a labelled random graph according to a greedy algorithm that selects a route to the desired node using metric information on the graph. Motivated by peer-to-peer networks two types of random graph are proposed with properties particularly amenable to this kind of algorithm.
openaire +3 more sources
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 +4 more
doaj +1 more source
Adaptive Lévy processes and area-restricted search in human foraging [PDF]
, 2013 A considerable amount of research has claimed that animals’ foraging behaviors display movement lengths with power-law distributed tails, characteristic of Lévy flights and Lévy walks.
Wiener, J.M. +13 more
core +1 more source
Neural Architecture Search with Random Labels [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 In this paper, we investigate a new variant of neural architecture search (NAS) paradigm -- searching with random labels (RLNAS). The task sounds counter-intuitive for most existing NAS algorithms since random label provides few information on the performance of each candidate architecture.
Xuanyang Zhang +3 more
openaire +2 more sources
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
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 +3 more
doaj +1 more source