Results 81 to 90 of about 5,083,495 (228)
Computational and Machine‐Learning Studies of Ethylene Oligomerization
Carbon and Hydrogen, EarlyView.This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin +3 more
wiley +1 more source
A two-step smoothing Levenberg-Marquardt algorithm for real-time pricing in smart grid
AIMS MathematicsAs is well known, the utility function is significant for solving the real-time pricing problem of smart grids. Based on a new utility function, the social welfare maximization model is considered in this paper.
Linsen Song , Gaoli Sheng
doaj +1 more source
Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg–Marquardt Algorithm to minimise backpropagation errors [PDF]
Geoscientific Instrumentation, Methods and Data Systems, 2018 A new modified elementary Levenberg–Marquardt Algorithm (M-LMA) was used to minimise backpropagation errors in training a backpropagation neural network (BPNN) to predict the records related to the Chi-Chi earthquake from four seismic stations ...
J.-W. Lin, C.-T. Chao, J.-S. Chiou
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Big Data and Cognitive Computing, 2019 Air Conditioners (AC) impact in overall electricity consumption in buildings is very high. Therefore, controlling ACs power consumption is a significant factor for demand response.
M. Waseem, Zhenzhi Lin, Li Yang
semanticscholar +1 more source
Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation
Deep Underground Science and Engineering, EarlyView.Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley +1 more source
Revista IBRACON de Estruturas e MateriaisThis technical note describes the implementation of the Levenberg-Marquardt algorithm for the inverse analysis of three-point bend tests on notched specimens of plain and fiber reinforced concretes for determining softening parameters (σ-w curves). Tests
J.L.A.O. Sousa
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Applied Sciences, 2019 Near-infrared spectroscopy (NIRS) including diffuse optical tomography is an imaging modality which makes use of diffuse light propagation in random media.
Yu Jiang +3 more
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Fast and numerically stable circle fit
, 2015 We develop a new algorithm for fitting circles that does not have drawbacks commonly found in existing circle fits. Our fit achieves ultimate accuracy (to machine precision), avoids divergence, and is numerically stable even when fitting circles get ...
Abdul-Rahman, Houssam, Chernov, Nikolai
core +1 more source
Optimized Dual ANN Control Technique for Efficient Energy Management System (EMS) of Microgrid
Energy Science &Engineering, EarlyView.Proposed methodology. ABSTRACT The escalating global energy demand necessitates a shift towards sustainable and environmentally friendly alternatives. While renewable energy sources like solar and wind energy offer promising solutions, their intermittent nature poses significant challenges for grid integration.
Bin Li +5 more
wiley +1 more source
Semina: Ciências Exatas e Tecnológicas, 2009 At several applications of computer vision is necessary to estimate parameters for a specific model which best fits an experimental data set. For these cases, a minimization algorithm might be used and one of the most popular is the Levenberg ...
Tiago Polizer da Silva +3 more
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