Results 91 to 100 of about 5,083,495 (228)

Levenberg-Marquardt Algorithm for Mackey-Glass Chaotic Time Series Prediction

Discrete Dynamics in Nature and Society, 2014
For decades, Mackey-Glass chaotic time series prediction has attracted more and more attention. When the multilayer perceptron is used to predict the Mackey-Glass chaotic time series, what we should do is to minimize the loss function.
Junsheng Zhao, Yongmin Li, Xingjiang Yu, Xingfang Zhang   +3 more
doaj   +1 more source

A trade‐off between efficiency and stability in a class of sky‐blue organic light‐emitting diodes

FlexMat, EarlyView.
OLED efficiency and stability are correlated with device structure using combined experimental and simulation approach. Efficient, but less stable devices suffer mainly from exciton‐exciton annihilation, while their opposites have excitons predominantly quenched by polarons.
Eglė Tankelevičiūtė, Sandra Jenatsch, Beat Ruhstaller, Eli Zysman‐Colman, Ifor D. W. Samuel   +4 more
wiley   +1 more source

CSLM: Levenberg Marquardt based Back Propagation Algorithm Optimized with Cuckoo Search

Journal of ICT Research and Applications, 2014
Training an artificial neural network is an optimization task, since it is desired to find optimal weight sets for a neural network during training process.
Nazri Mohd. Nawi, Abdullah Khan, M. Z. Rehman   +2 more
doaj   +1 more source

The Illusion of Structural Order: Evaluating the Suppression of Amorphous Carbon Black Pigment Bands in SSE‐Processed Handheld Raman Spectra

Journal of Raman Spectroscopy, EarlyView.
The handheld Raman with SSE system efficiently mitigates fluorescence; however, it may also bias the Raman response towards graphitic domains in carbon‐based black pigments, thereby concealing amorphous carbon contributions that are critical for pigment type identification.
Zeynep Alp, Christoph Herm
wiley   +1 more source

Comparative Study on Backpropagation and Levenberg Marquardt Algorithm on Short Term Load Forecasting

International Journal of Advanced Trends in Computer Science and Engineering, 2019
Variable electrical load and ever increasing load demand needs to be predicted or forecasted in order to avoid the energy crisis. This paper presents a comparison between the back propagation algorithm and Levenberg marquardt algorithm for short term ...
M. Singla, Jyoti Gupta, P. Nijhawan, Ijatcse, pdf   +4 more
semanticscholar   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

Imfit: A Fast, Flexible New Program for Astronomical Image Fitting

, 2014
I describe a new, open-source astronomical image-fitting program called Imfit, specialized for galaxies but potentially useful for other sources, which is fast, flexible, and highly extensible.
Erwin, Peter
core   +1 more source

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq, H. W. A. Riaz, Sadique Rehman, M. Mamun Miah, Wen Xiu Ma   +4 more
wiley   +1 more source

Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging

, 2016
Many graphics and vision problems can be expressed as non-linear least squares optimizations of objective functions over visual data, such as images and meshes.
Bernstein, Gilbert, DeVito, Zachary, Fisher, Matthew, Hanrahan, Pat, Mara, Michael, Nießner, Matthias, Ragan-Kelley, Jonathan, Theobalt, Christian, Zollhöfer, Michael   +8 more
core   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source