Results 101 to 110 of about 54,005 (235)

Adaptive Operator-Based Spectral Deconvolution With the Levenberg-Marquardt Algorithm

Photonic Sensors, 2019
Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer. Spectral deconvolution is an effective restoration method to solve this problem. Based on the theory of the maximum posteriori estimation,
Chan Huang, Feinan Chen, Yuyang Chang, Lin Han, Shuang Li, Jin Hong   +5 more
doaj   +1 more source

A Hybrid Levenberg-Marquardt Algorithm on a Recursive Neural Network for Scoring Protein Models. [PDF]

Methods Mol Biol, 2021
Faraggi E, Jernigan RL, Kloczkowski A.
europepmc   +1 more source

A Cascaded Strategy With Embodied Artificial Intelligence: Forward Kinematics Solutions for CCRobot‐S

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents a novel cable‐climbing mechanism: the Collaborative Climbing Robot Squad (CCRobot‐S), a variant of Reconfigurable Cable‐Driven Parallel Robots (R‐CDPR), specifically designed for the inspection and maintenance of stay cables.
Zhenliang Zheng, Yongyuan Xu, Xuchun He, Tin Lun Lam, Ning Ding   +4 more
wiley   +1 more source

Unravelling Electronic Structure and Molecular Vibrations of Proteins in Virus Using Novel Correlated Plasmon‐Enhanced Raman Spectroscopy With Machine Learning

Small, EarlyView.
A novel, non‐destructive, stable, direct technique, named correlated plasmon‐enhanced Raman spectroscopy (CP‐ERS), which is based on a newly‐developed highly oriented single crystalline gold quantum dots (HOSG‐QDs) chip, is developed to measure and quantify molecular vibrations and electronic structure of analytes.
Vashu Kamboj, Shermine Ho, Fakhriedzwan Idris, Donald Heng Rong Ting, Khadijah Bte Kamsari Sanuh, Sylvie Alonso, Eng Soon Tok, Andrivo Rusydi   +7 more
wiley   +1 more source

GARLM: Greedy Autocorrelation Retrieval Levenberg–Marquardt Algorithm for Improving Sparse Phase Retrieval

Applied Sciences, 2018
The goal of phase retrieval is to recover an unknown signal from the random measurements consisting of the magnitude of its Fourier transform. Due to the loss of the phase information, phase retrieval is considered as an ill-posed problem.
Zhuolei Xiao, Yerong Zhang, Kaixuan Zhang, Dongxu Zhao, Guan Gui   +4 more
doaj   +1 more source

Empirical Physics‐Based Normal Behavior Modeling of Drive Train Temperatures With High‐Resolution Wind Turbine Operating Data

Wind Energy, EarlyView.
ABSTRACT The installed wind energy capacity increases every year. However, operation and maintenance costs still make up a considerable portion of the levelized costs of electricity. This costs can be greatly reduced by the application of suitable early fault detection methods. The supervisory control and data acquisition system of wind turbines is one
Timo Lichtenstein, Victor von Maltzahn, Karoline Pelka   +2 more
wiley   +1 more source

A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography

International Journal of Biomedical Imaging, 2007
We present an approach based on the improved Levenberg Marquardt (LM) algorithm of backpropagation (BP) neural network to estimate the light source ...
Zhun Xu, Xiaolei Song, Xiaomeng Zhang, Jing Bai   +3 more
doaj   +1 more source

Design and Validation of Zeroing Neural Network With Active Noise Rejection Capability for Time‐Varying Problems Solving

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Recently, the zeroing neural network (ZNN) has demonstrated remarkable effectiveness in tackling time‐varying problems, delivering robust performance across both noise‐free and noisy environments. However, existing ZNN models are limited in their ability to actively suppress noise, which constrains their robustness and precision in solving ...
Yilin Shang, Wenbo Zhang, Dongsheng Guo, Shan Xue   +3 more
wiley   +1 more source

Модификация алгоритма Левенберга-Марквардта для повышения точности прогностических моделей связного потребления энергоресурсов в быту [PDF]

, 2005
Для підвищення ефективності навчання нейромережевих прогностичних моделей зв’язного споживання енергоресурсів в побуті запропоновано модифікацію алгоритму Левенберга-Марквардта.
Вороненко, Д. И., Махотило, Константин Владимирович   +1 more
core  

Surface Flashover in 50 Years: III. Extreme Environments and Industrial Challenges

High Voltage, EarlyView.
ABSTRACT Modern high‐voltage electrical equipment operates in complex environments where surface conditions are subjected to multifaceted influences from electric fields, thermal gradients, contaminants, irradiation and other extreme environmental factors.
Zhen Li, Heng Zhang, He Gao, Ji Liu, Yoshimichi Ohki, George Chen, Shengtao Li   +6 more
wiley   +1 more source