Results 21 to 30 of about 2,257,648 (287)

Proximal Policy Optimization-Based Reinforcement Learning and Hybrid Approaches to Explore the Cross Array Task Optimal Solution

open access: yesMachine 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

Finding passwords by random walks: How long does it take? [PDF]

open access: yes, 2009
We compare an efficiency of a deterministic "lawnmower" and random search strategies for finding a prescribed sequence of letters (a password) of length M in which all letters are taken from the same Q-ary alphabet.
Bose R C   +8 more
core   +1 more source

Optimum Design of Reinforced Cylindrical Shells Under Combined Axial Compression and Internal Pressure [PDF]

open access: yesJournal 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]

open access: yesE3S 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   +6 more
doaj   +1 more source

On weighted depths in random binary search trees [PDF]

open access: yes, 2017
Following the model introduced by Aguech, Lasmar and Mahmoud [Probab. Engrg. Inform. Sci. 21 (2007) 133-141], the weighted depth of a node in a labelled rooted tree is the sum of all labels on the path connecting the node to the root. We analyze weighted
Aguech, Rafik   +2 more
core   +3 more sources

Time Series Forecasting of Motor Bearing Vibration Based on Informer

open access: yesSensors, 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

open access: yesJournal 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

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

open access: yesEnergies, 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

Random walks and search in time-varying networks [PDF]

open access: yes, 2012
The random walk process underlies the description of a large number of real world phenomena. Here we provide the study of random walk processes in time varying networks in the regime of time-scale mixing; i.e.
A. Barrat   +11 more
core   +3 more sources

Greedy Randomized Adaptive Search Procedures [PDF]

open access: yesJournal 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

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