Results 41 to 50 of about 2,741,379 (327)
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Probabilistic analysis of numerical integration algorithms
Journal of Complexity, 1991 AbstractWe study the conditional expected error of approximation for a class of adaptive numerical integration algorithms. We analyze a type of divided difference test—an error estimate obtained by replacing the higher derivative of the integrand in the local error remainder term of a quadrature formula by the higher divided differences of the nearby ...
Feng Gao, Feng Gao
openaire +2 more sources
Performance analysis of control allocation using data‐driven integral quadratic constraints
Advanced Control for Applications, Volume 4, Issue 4, December 2022., 2022 Abstract A new method is presented for evaluating the performance of a nonlinear control allocation system within a linear control loop. To that end, a worst‐case gain analysis problem is formulated that can be readily solved by means of well‐established methods from robustness analysis using integral quadratic constraints (IQCs).
Manuel Pusch +2 more
wiley +1 more source
ON PREDICTION AND DECISION MAKING UNDER UNCERTAINTIES FOR MEDICAL SYSTEMS RESEARCH PROBLEMS
Medična Informatika ta Inženerìâ, 2017 The work presents our results in field of application of system analysis methods to problem of medical research. We emphasize effects of uncertainty that should be taken into account in such complex processes. Medical system research requires information
V. P. Martsenyuk, I Ye. Andrushchak
doaj +1 more source
Probabilistic Machine Learning Methods for Fractional Brownian Motion Time Series Forecasting
Fractal and Fractional, 2023 This paper explores the capabilities of machine learning for the probabilistic forecasting of fractional Brownian motion (fBm). The focus is on predicting the probability of the value of an fBm time series exceeding a certain threshold after a specific ...
Lyudmyla Kirichenko, Roman Lavrynenko
doaj +1 more source
Deterministic and Probabilistic Error Bounds for Floating Point Summation Algorithms [PDF]
arXiv, 2021 We analyse the forward error in the floating point summation of real numbers, from algorithms that do not require recourse to higher precision or better hardware. We derive informative explicit expressions, and new deterministic and probabilistic bounds for errors in three classes of algorithms: general summation,shifted general summation, and ...
arxiv
Anomaly, reciprocity, and community detection in networks
Physical Review Research, 2023 Anomaly detection algorithms are a valuable tool in network science for identifying unusual patterns in a network. These algorithms have numerous practical applications, including detecting fraud, identifying network security threats, and uncovering ...
Hadiseh Safdari +2 more
doaj +1 more source
Path Planning for UAV Based on Improved PRM
Energies, 2022 In this paper, an improved probabilistic roadmap (IPRM) algorithm is proposed to solve the energy consumption problem of multi-unmanned aerial vehicle (UAV) path planning with an angle.
Weimin Li +5 more
doaj +1 more source
OPERATIONAL ANALYSIS OF COMPLEX MEDICAL STATES BY PHOTONICS METHODS
Biomedical Photonics, 2018 In this paper we analyze the possibility of using special methods and equipment of coherent photonics when working with multi-parameter information.
A. I. Larkin, K. A. Trukhanov
doaj +1 more source
Hydrology Research, 2020 The increased pumping of freshwater from coastal aquifers, to meet growing demands, causes an environmental problem called saltwater intrusion. Consequently, proper management schemes are necessary to tackle such a situation and permit the optimal ...
Hamdy A. El-Ghandour, Emad Elbeltagi
doaj +1 more source