Suchergebnisse - Optimal stepwise gradient algorithm

A unified preconditioned minimal residual (PMR) algorithm for matrix problems: Linear systems, multiple right-hand sides linear systems, least squares problems, inversion and pseudo-inversion with application to color image encryption von Shirilord, Akbar, Dehghan, Mehdi

“… In this article, we introduce a preconditioned minimal residual (PMR) algorithm designed to address a wide range of matrix equations and linear systems …”
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Optimization of gradient profiles in ion-exchange chromatography using computer simulation programs von Drgan, Viktor, Kotnik, Darja, Novič, Marjana

“… Simulated chromatogram (gradient ion chromatography) obtained with the experimental parameters from simplex optimization procedure regarding minimal distance between adjacent peaks (below …”
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Combining Sample Plot Stratification and Machine Learning Algorithms to Improve Forest Aboveground Carbon Density Estimation in Northeast China Using Airborne LiDAR Data von Chen, Mingjie, Qiu, Xincai, Zeng, Weisheng, Peng, Daoli

“… However, the impact of stratification and how to effectively combine stratification and modeling algorithms have not been fully investigated in forest AGC estimation …”
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Research on Estimating and Evaluating Subtropical Forest Carbon Stocks by Combining Multi-Payload High-Resolution Satellite Data von Du, Yisha, Chen, Donghua, Li, Hu, Liu, Congfang, Liu, Saisai, Zhang, Naiming, Fan, Jingwei, Jiang, Deting

“… Forest carbon stock is an important indicator reflecting the structure of forest ecosystems and forest quality, and an important parameter for evaluating the …”
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A Stepwise Analytical Projected Gradient Descent Search for Hyperspectral Unmixing and Its Code Vectorization von Kizel, Fadi, Shoshany, Maxim, Netanyahu, Nathan S., Even-Tzur, Gilad, Benediktsson, Jon Atli

“… ), is estimated for each pixel in the image. The process first provides an initial estimate of the fraction vector, followed by an iterative procedure that converges to an optimal solution …”
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Development of a stepwise solvent-gradient SMB process for continuous-mode purification of methoxyethyl nucleoside phosphoramidites to be used as the key building blocks of oligonucleotide drugs von Jo, Cheol Yeon, Lee, Kyungjin, Lee, Chung-Gi, Kim, Kyungjin, Mun, Sungyong

“… •It was based on a stepwise solvent-gradient SMB mode using silica gel as adsorbent.•The developed SMB can produce oligonucleotide monomers at 99.6 …”
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High-dimensional railway vertical alignment optimization using hybrid differential evolution and gradient descent von Yang, Dongying, He, Qing, Wang, Honghui, Gao, Yan, Zhang, Senhao, Yao, Guangle, Zhou, Meng

“… ; the proposed model employs a parallel Differential Evolution (DE) algorithm and a swift gradient descent (GD …”
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Research on Multi-Objective Parameter Matching and Stepwise Energy Management Strategies for Hybrid Energy Storage Systems von Xu, Wenna, Huang, Hao, Wang, Chun, Hu, Yixin, Gao, Xinmei

“… To address this, this paper proposes an energy management strategy (EMS) based on stepwise rules optimized by Particle Swarm Optimization (PSO …”
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Optimization of the separation of chlorophenols with stepwise gradient elution in reversed phase liquid chromatography von Hadjmohammadi, Mohammad Reza, Kamel, Kamyar, Fatemi, Mohammad Hosein

“… The separation was based on gradient elution with a stepwise variation pattern of the volume fraction of organic modifier, φ …”
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Leveraging ensemble learning-based stock preselection with multiobjective investment optimization for stepwise decision-supported portfolio management von Chou, Jui-Sheng, Pham, Tran-Bao-Quyen

“… )-Multiobjective Forensic-based Investigation (MOFBI)-eXtreme Gradient Boosting (XGB) model to construct high-return, low-risk portfolios based on investor preferences …”
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Deep Imitation Learning for Optimal Trajectory Planning and Initial Condition Optimization for an Unstable Dynamic System von Chen, Bo-Hsun, Lin, Pei-Chun

“… In this article, an innovative offline deep imitation learning algorithm for optimal trajectory planning is proposed. While many state …”
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Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination von Abba, S.I., Hadi, Sinan Jasim, Sammen, Saad Sh, Salih, Sinan Q., Abdulkadir, R.A., Pham, Quoc Bao, Yaseen, Zaher Mundher

“… The current study is investigated the applicability of Extreme Gradient Boosting (XGB) and Genetic Programming (GP …”
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QSRR modeling for the chromatographic retention behavior of some β-lactam antibiotics using forward and firefly variable selection algorithms coupled with multiple linear regression von Fouad, Marwa A., Tolba, Enas H., El-Shal, Manal A., El Kerdawy, Ahmed M.

“…  min in a gradient program to obtain the optimum chromatographic conditions for the elution of 31 β-lactam antibiotics …”
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An interpretable short-term electrical load forecasting model based on SHapley Additive exPlanations——A case study in Haidian, Beijing von Wang, Jialin, Yu, Bo, Chen, Xiao, Dai, Guisheng, Dai, Gaoju, Liu, Wenjun, He, Na, Zhu, Pingping, Yin, Zhaoyin, Pan, Zhihua

“… (Stepwise Multiple Linear Regression, SMLR) and machine learning (Extreme Gradient Boosting, XGBoost, and Least Absolute Shrinkage and Selection Operator-Extreme Gradient Boosting, LASSO-XGBoost …”
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A New Discrete-Continuous Algorithm for Radial Basis Function Networks Construction von Zhang, Long, Li, Kang, He, Haibo, Irwin, George W.

“… Although these methods are robust, they may not achieve optimal results. Alternatively, gradient methods are widely used to optimize all the parameters …”
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Optimizing Thermo-Hydraulic Performance in Heat Exchanger with Gradient and Multi-Layered Porous Foams von Abbas Naqvi, Syed Murawat, Wang, Qiuwang, Waqas, Muhammad, Gupta, Ranjeetkumar, Rafique, Faisal

“… In this study, the effect of gradient and multi-layered porous media is assessed for the optimized properties and arrangement in the tested novel baffle design arrangement, which results in further …”
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Data mining with 12 machine learning algorithms for predict costs and carbon dioxide emission in integrated energy-water optimization model in buildings von Emami Javanmard, Majid, Ghaderi, S.F., Hoseinzadeh, Mohamad

“… •Comparison of prediction accuracy of 12 machine learning algorithms for model.•Evaluation of forecast accuracy of algorithms after using principal component analysis …”
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Non-Negative Group Sparsity with Subspace Note Modelling for Polyphonic Transcription von O'Hanlon, Ken, Nagano, Hidehisa, Keriven, Nicolas, Plumbley, Mark D.

“… Stepwise and gradient-based methods for non-negative group sparse decompositions are proposed. Finally, a group sparse NMF approach is used to tune a generic harmonic subspace dictionary, leading to improved NMF-based AMT results …”
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Multi-Objective Integrated Robust Optimal Control for Wastewater Treatment Processes von Chen, Cong, Han, Honggui, Sun, Haoyuan, Yang, Hongyan, Qiao, Junfei

“… ) to ensure the security and stability of the operation processes. However, for the existing stepwise multi-objective optimal control (SMOC …”
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Optimal Agent Search Using Surrogate-Assisted Genetic Algorithms von Shin, Seung-Soo, Kim, Yong-Hyuk

“… In this study, we propose surrogate-assisted genetic algorithms (SGAs), whose surrogate models are used in the fitness evaluation of genetic algorithms, and the surrogates also predict cumulative rewards for an agent’s …”
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