Levenberg-Marquardt optimization method
Application of Hyperelastic Models in Mechanical Properties prediction of Mouse Oocyte and Embryo Cells at Large Deformations
... study, Levenberg-Marquardt optimization method is used due to its high eciency in process time in comparison with other techniques such as genetic algorithm or neural ...
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A new Cuckoo Search Based Levenberg Marquardt (CSLM) algorithm
... Search Levenberg-Marquardt (CSLM) algorithm, each best nest or solution represents a possible solution ...NN optimization in this study) to the considered problem and the size of a population ...
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STUDY ON WAX DEPOSITION RATE OPTIMIZATION ALGORITHM BASED ON LEVENBERG-MARQUARDT ALGORITHM AND GLOBAL OPTIMIZATION
... a optimization software of First Optimization(1stOpt), The parameters of two typical wax deposition rate models are solved respectively based on optimization algorithm combined by ...
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Algorithms for Optimized Training of Artificial Neural Networks
... for optimization of medium sized non linear ...this method will be much faster than gradient descent plus ...the Levenberg–Marquardt algorithm was implemented only for multilayer perceptron ...
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Investigation On Various Training Algorithms For Robust ANN-PID Controller Design
... Levenberg Marquardt Algorithm (LMA) is one of the algorithms of the least square algorithms [20], ...Square Method [22]. It was discovered by Kenneth Levenberg and Donald Marquardt and ...
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Template Matching for Profile Measurement Based on Levenberg Marquardt Algorithm
... Gauss-Newton method; when the value of µ is large, Equation (3) is similar to the gradient descent ...the optimization goal, µ is gradually decreased, with the rapid convergence of Gauss Newton ...the ...
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A detailed step-by-step electrical parameters identification method for photovoltaic generators using a combination of two approaches
... In this paper, a detailed study is provided for determining, estimating, identifying and obtaining of the electrical PV parameters values in real time, through combining two algorithms (Levenberg-Marquardt ...
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An Inverse Problem Method for Gas Temperature Estimation in Partially Filled Rotating Cylinders
... nite-volume method is employed to solve the direct ...local optimization algorithm, is adopted to estimate the unknown ...Two optimization algorithms are used in determination of the gas ...gradient ...
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A new levenberg marquardt based back propagation algorithm trained with cuckoo search
... NN optimization in this study) to the considered problem and the size of a food source represents the quality of the ...Newton method and gradient descent ...
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Identification of biomolecule mass transport and binding rate parameters in living cells by inverse modeling
... parameter optimization by inverse modeling can be used to identify mass transport and biochemical reaction rate ...ter optimization algorithm and experimental data set to estimate the optimum values of ...
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Levenberg-Marquardt optimised neural networks for trajectory tracking of autonomous ground vehicles
... Abstract: Trajectory tracking is an essential capability of robotics operation in industrial automation. In this article, an artificial neural controller is proposed to tackle trajectory-tracking problem of an autonomous ...
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GROUNDWATER LEVEL SIMULATION USING ANN FOR GANDHINAGAR DISTRICT
... An Artificial Neural Network (ANN) is a computational method. ANN represent highly idealized mathematical model of our present understanding of such complex system. One o f the characteristics of the neural ...
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A Classification System for Diabetic Patients with Machine Learning Techniques
... formulated optimization problem in order to search in a direction of a positive step in interval of time ...the optimization problem solution in direction of positive updates Δt and Δk, when time t reaches ...
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INTRUSION DETECTION USING KERNELIZED SUPPORT VECTOR MACHINE WITH LEVENBERG- MARQUARDT LEARNING
... Levenberg-Marquardt (LM) learning developed from expansion of Error Back Propagation (EBP) algorithm dependent techniques. It provides a significant exchange between the speed of the Newton algorithm and ...
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Online Signature for Attendance Verification System using Levenberg-Marquardt Neural Network
... of Levenberg-Marquardt based Back-propagation Neural Network for training features extracted from online signature ...of Levenberg-Marquardt back-propagation Neural Network is ...
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Modeling of thermodynamic and physico-chemical properties of coumarins bioactivity against <em>Candida albicans</em> using a Levenberg–Marquardt neural network
... a Levenberg– Marquardt (LM) neural network (the fastest of the training algorithms), the relation between some important thermodynamic and physico-chemical properties of coumarin compounds and their ...
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Machine learning in Dynamic Adaptive Streaming over HTTP (DASH)
... In is shown in [15] that static users and adaptive streaming users have less starvation events than mobile users. Also researchers observed that with mobile users it is more difficult to predict their video starvation. ...
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Effect of Training Algorithms on the Performance of ANN for Pattern Recognition of Bivariate Process
... the Levenberg-Marquardt algorithm, the entire ANN model met the error goal criterion and gives small epoch indicating that the speed seem to be faster but in comparison with the resilient backpropagation ...
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A Feed-Forward Neural Network Model For The Accurate Prediction Of Diabetes Mellitus
... Abstract: Diabetes mellitus is a group of metabolic diseases showing high blood sugar levels over prolonged periods. It is one of the deadly diseases growing at rapid rates in developing countries. Diabetes has affected ...
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Artificial Neural Networks A Review of Applications of Neural Networks in the Modeling of HIV Epidemic
... new method of multilayered perceptron (MLP) network to classify HIV/AIDS infected and non-infected status of ...backpropagation, Levenberg-Marquardt, and Bayesian rule algorithms were employed to ...
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