Suchergebnisse - stochastic/gradient-based optimization algorithm~

Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks

Autoren: Li, Kevin Li, Fulu

Index Begriffe: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2409.09240

Optimizing Chemical Reaction Mechanisms: Evaluating Parameter-Free Metaheuristic Algorithms and Gradient-Based Optimization.

Autoren: Badhuk, Pabitra Verma, Nikhil Ravikrishna, R. V.

Quelle: Combustion Science & Technology; 2025, Vol. 197 Issue 12, p3038-3056, 19p

Schlagwörter: REACTION mechanisms (Chemistry), METAHEURISTIC algorithms, PARTICLE swarm optimization, BEES algorithm, OPTIMIZATION algorithms, GENETIC algorithms, MATHEMATICAL optimization

Unbiased MLMC Stochastic Gradient-Based Optimization of Bayesian Experimental Designs

Autoren: Takashi Goda Tomohiko Hironaka Wataru Kitade et al.

Quelle: SIAM Journal on Scientific Computing. 44:A286-A311

Schlagwörter: FOS: Computer and information sciences, Statistics - Machine Learning, FOS: Mathematics, Machine Learning (stat.ML), Mathematics - Numerical Analysis, Numerical Analysis (math.NA), 0101 mathematics, Statistics - Computation, 01 natural sciences, Computation (stat.CO)

Zugangs-URL: http://arxiv.org/pdf/2005.08414
http://arxiv.org/abs/2005.08414

Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR.

Autoren: Sahu, Bibhuprasad Panigrahi, Amrutanshu Pati, Abhilash et al.

Quelle: Bioengineering (Basel); Mar2025, Vol. 12 Issue 3, p291, 26p

Schlagwörter: OPTIMIZATION algorithms, FEATURE selection, SUPPORT vector machines, TUMOR classification, RANDOM forest algorithms

A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear-Equality-Constrained Optimization with Rank-Deficient Jacobians.

Autoren: Berahas, Albert S. Curtis, Frank E. O'Neill, Michael J. et al.

Quelle: Mathematics of Operations Research; Nov2024, Vol. 49 Issue 4, p2212-2248, 37p

Schlagwörter: OPTIMIZATION algorithms, STOCHASTIC approximation, JACOBIAN matrices, RESEARCH awards, ALGORITHMS

Deep transfer learning with improved crayfish optimization algorithm for oral squamous cell carcinoma cancer recognition using histopathological images.

Autoren: Ragab, Mahmoud Asar, Turky Omar

Quelle: Scientific Reports; 10/25/2024, Vol. 14 Issue 1, p1-22, 22p

Schlagwörter: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, DEEP learning, SQUAMOUS cell carcinoma

Proactive Optimization of Intelligent-Well Production Using Stochastic Gradient-Based Algorithms.

Autoren: Sefat, Morteza Haghighat Muradov, Khafiz M. Elsheikh, Ahmed H. et al.

Quelle: SPE Reservoir Evaluation & Engineering. May2016, Vol. 19 Issue 2, p239-252. 14p.

Schlagwörter: Stochastic analysis, Wells, Intelligent design (Teleology), Nonlinear analysis, Methodology, Management

Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs

Autoren: Goda, Takashi Hironaka, Tomohiko Kitade, Wataru et al.

Index Begriffe: Statistics - Computation, Mathematics - Numerical Analysis, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2005.08414

SEQUENTIAL QUADRATIC OPTIMIZATION FOR STOCHASTIC OPTIMIZATION WITH DETERMINISTIC NONLINEAR INEQUALITY AND EQUALITY CONSTRAINTS.

Autoren: CURTIS, FRANK E. ROBINSON, DANIEL P. BAOYU ZHOU

Quelle: SIAM Journal on Optimization; 2024, Vol. 34 Issue 4, p3592-3622, 31p

Schlagwörter: OPTIMIZATION algorithms, DERIVATIVES (Mathematics), ALGORITHMS

aMacP: An adaptive optimization algorithm for Deep Neural Network.

Autoren: Bhakta, Shubhankar Nandi, Utpal Changdar, Chiranjit et al.

Quelle: Neurocomputing. Mar2025, Vol. 620, pN.PAG-N.PAG. 1p.

Schlagwörter: *ARTIFICIAL neural networks, *OPTIMIZATION algorithms, *CONVOLUTIONAL neural networks, *MATHEMATICAL optimization

Comparative Evaluation of the Application Effectiveness of Intelligent Production Optimization Methods in Offshore Oil Reservoirs.

Autoren: Liu, Chen Feng, Qihong Zhang, Kai et al.

Quelle: Water (20734441); Jun2024, Vol. 16 Issue 12, p1732, 15p

Schlagwörter: DIFFERENTIAL evolution, PETROLEUM reservoirs, EVOLUTIONARY computation, OPTIMIZATION algorithms, EVOLUTIONARY algorithms, PRODUCTION methods, PETROLEUM in submerged lands, ARTIFICIAL intelligence

A Stochastic Inexact Sequential Quadratic Optimization Algorithm for Nonlinear Equality-Constrained Optimization.

Autoren: Curtis, Frank E. Robinson, Daniel P. Zhou, Baoyu

Quelle: INFORMS Journal on Optimization; Summer/Fall2024, Vol. 6 Issue 3-4, p173-195, 23p

Schlagwörter: OPTIMIZATION algorithms, DERIVATIVES (Mathematics), SUBGRADIENT methods, STOCHASTIC approximation, MEMETICS, QUADRATIC programming

Firma/Körperschaft: NATIONAL Science Foundation (U.S.), UNITED States. Office of Naval Research

Hybrid Framework for Enhanced Dynamic Optimization of Intelligent Completion Design in Multilateral Wells with Multiple Types of Flow Control Devices.

Autoren: Ahdeema, Jamal Haghighat Sefat, Morteza Muradov, Khafiz

Quelle: Energies (19961073); Oct2023, Vol. 16 Issue 20, p7189, 25p

Schlagwörter: OPTIMIZATION algorithms, PARTICLE swarm optimization, STOCHASTIC approximation, NET present value, GLOBAL optimization

Landslide Susceptibility Mapping Based on the Germinal Center Optimization Algorithm and Support Vector Classification.

Autoren: Xia, Ding Tang, Huiming Sun, Sixuan et al.

Quelle: Remote Sensing; Jun2022, Vol. 14 Issue 11, p2707-2707, 24p

Schlagwörter: LANDSLIDE hazard analysis, METAHEURISTIC algorithms, GERMINAL centers, RANDOM forest algorithms, MATHEMATICAL optimization, RECEIVER operating characteristic curves, ARTIFICIAL neural networks

A stochastic topology optimization algorithm for improved fluid dynamics systems.

Autoren: Furrokh, Fox Zhang, Nic

Quelle: AI EDAM; Feb2022, Vol. 36, p1-12, 12p

Schlagwörter: FLUID dynamics, MATHEMATICAL optimization, SYSTEM dynamics, TOPOLOGY, INTERNAL combustion engines, ADJOINT differential equations

A novel arithmetic optimization algorithm based on chaotic maps for global optimization.

Autoren: Aydemir, Salih Berkan

Quelle: Evolutionary Intelligence; Jun2023, Vol. 16 Issue 3, p981-996, 16p

An SQP-Filter Algorithm with an Improved Stochastic Gradient for Robust Life-Cycle Optimization Problems with Nonlinear Constraints

Autoren: Zhe Liu Albert C. Reynolds

Quelle: SPE Reservoir Simulation Conference.

Schlagwörter: 1. No poverty, 02 engineering and technology, 0204 chemical engineering, 0101 mathematics, 01 natural sciences

Zugangs-URL: https://onepetro.org/spersc/proceedings/19RSC/1-19RSC/D011S007R001/219587
https://admin.onepetro.org/spersc/proceedings/19RSC/1-19RSC/D011S007R001/219587

Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms.

Autoren: Cheng, Daning Li, Shigang Zhang, Hanping et al.

Quelle: IEEE Transactions on Parallel & Distributed Systems; Jul2021, Vol. 32 Issue 7, p1702-1712, 11p

Schlagwörter: MACHINE learning, PARALLEL algorithms, MATHEMATICAL optimization, RANDOM forest algorithms, SUPPORT vector machines, ALGORITHMS

Comparison of machine learning models for predicting groundwater level, case study: Najafabad region.

Autoren: Zarafshan, Pejman Etezadi, Hamed Javadi, Saman et al.

Quelle: Acta Geophysica; Aug2023, Vol. 71 Issue 4, p1817-1830, 14p

Schlagwörter: MACHINE learning, DEEP learning, WATER management, STANDARD deviations, OPTIMIZATION algorithms, WATER table, WATER supply, WATER levels

Optimally Designed Shell Enclosures with Tuned Absorbers for Minimizing Sound Power: Optimally designed shell enclosures with tuned absorbers for minimizing sound power

Autoren: Eric Constans Ashok D. Belegundu Gary H. Koopmann

Quelle: Optimization and Engineering. 1:67-86

Schlagwörter: noise reduction, motor gearbox, finite element method, enclosed noise source, Hydro- and aero-acoustics, multiple optimized tuned absorbers, sound power spectrum, 02 engineering and technology, thin shell, optimally sized/located absorbers, 01 natural sciences, Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.), Shells, boundary element method, 0201 civil engineering, 0103 physical sciences, stochastic/gradient-based optimization algorithm, Optimization of other properties in solid mechanics

Dateibeschreibung: application/xml

Zugangs-URL: https://link.springer.com/article/10.1023/A%3A1010046506443