Results 21 to 30 of about 4,872,287 (279)
Machine Learning and Knowledge Extraction, 2023 In an era characterised by rapid technological advancement, the application of algorithmic approaches to address complex problems has become crucial across various disciplines.
Samuel Corecco +2 more
doaj +1 more source
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
Search for the smallest random forest [PDF]
Statistics and Its Interface, 2009 Random forests have emerged as one of the most commonly used nonparametric statistical methods in many scientific areas, particularly in analysis of high throughput genomic data. A general practice in using random forests is to generate a sufficiently large number of trees, although it is subjective as to how large is sufficient.
Heping, Zhang, Minghui, Wang
openaire +2 more sources
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
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
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
Towards large scale continuous EDA: a random matrix theory perspective [PDF]
, 2013 Estimation of distribution algorithms (EDA) are a major branch of evolutionary algorithms (EA) with some unique advantages in principle. They are able to take advantage of correlation structure to drive the search more efficiently, and they are able to ...
Kabán, Ata +5 more
core +1 more source
Stable marriages and search frictions [PDF]
, 2014 Stable matchings are the primary solution concept for two-sided matching markets with nontransferable utility. We investigate the strategic foundations of stability in a decentralized matching market.
Nöldeke, Georg, Lauermann, Stephan
core +1 more source
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 +1 more
doaj +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