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Levenberg-Marquardt (LM) Algorithm

Performance Of Levenberg-Marquardt Algorithm In Face Recognition

Performance Of Levenberg-Marquardt Algorithm In Face Recognition

... Faces have been used by humans to recognize each other for thousands of years. With the increased need for fast and reliable authentication systems, the used advanced automated systems based on biometric technology ...

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A new levenberg marquardt based back propagation algorithm trained with cuckoo search

A new levenberg marquardt based back propagation algorithm trained with cuckoo search

... is Levenberg Marquardt (LM) algorithm [21], which is a derivative of the Newton ...multifaceted algorithm since not only the gradient but also the Jacobian matrix is ...The LM ...

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A new Cuckoo Search Based Levenberg Marquardt (CSLM) algorithm

A new Cuckoo Search Based Levenberg Marquardt (CSLM) algorithm

... tope algorithm [14], a global search technique such as evolutionary programming [15], and genetic algorithm (GA) ...prop algorithm [18], Resi- lient Error Back Propagation [19], Back percolation, ...

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Prediction of air temperature using Multi-layer perceptrons with Levenberg-Marquardt training algorithm

Prediction of air temperature using Multi-layer perceptrons with Levenberg-Marquardt training algorithm

... appropriate algorithm for the training ...(Traingdx), Levenberg-Marquardt (Trainlm), an intersecting step (Trainoss), random training with incremental learning (Trainr), elastic (Trainrp), and batch ...

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Template Matching for Profile Measurement Based on Levenberg Marquardt Algorithm

Template Matching for Profile Measurement Based on Levenberg Marquardt Algorithm

... the Levenberg-Marquardt algorithm to solve the problem of a big error while matching the measurement profile with the template ...on Levenberg-Mar- quardt algorithm is ...

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Calibration of an Inertial Accelerometer using Trained Neural Network by Levenberg-Marquardt Algorithm for Vehicle Navigation

Calibration of an Inertial Accelerometer using Trained Neural Network by Levenberg-Marquardt Algorithm for Vehicle Navigation

... The designing of advanced driver assistance systems and autonomous vehicles needs measurement of dynamical variations of vehicle, such as acceleration, velocity and yaw rate. Designed adaptive controllers to control ...

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STUDY ON WAX DEPOSITION RATE OPTIMIZATION ALGORITHM BASED ON LEVENBERG-MARQUARDT ALGORITHM AND GLOBAL OPTIMIZATION

STUDY ON WAX DEPOSITION RATE OPTIMIZATION ALGORITHM BASED ON LEVENBERG-MARQUARDT ALGORITHM AND GLOBAL OPTIMIZATION

... optimization algorithm combined by Levenberg-Marquardt (L-M) algorithm and global optimization and the calculated data were ...optimization algorithm can describe the variation of wax ...

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Optical Character Recognition using Neural Network

Optical Character Recognition using Neural Network

... The Levenberg-Marquardt (LM) algorithm is an approximation to the Newton method that is also used for training ...the LM is popular in the NN domain, although it is not that popular in ...

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Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training

Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training

... improve Levenberg-Marquardt (LM) algorithm and make it better usable in training neural ...modified LM algorithm using Bayesian regularization and use it to determine an ...

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Algorithms for Optimized Training of Artificial Neural Networks

Algorithms for Optimized Training of Artificial Neural Networks

... Levenberg Marquardt (LM) algorithm provides a numerical solution to the problem of minimizing the error function, which is generally nonlinear in ...nature. LM algorithm actually ...

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Reconstruction Algorithm for Microwave Tomography Using Iterative Regularized Levenberg-Marquardt Method

Reconstruction Algorithm for Microwave Tomography Using Iterative Regularized Levenberg-Marquardt Method

... ABSTRACT: The theory and equations are developed for the scattering pattern of a dielectric cylinder of arbitrary cross section shape. The harmonic incident wave is assumed to have its electric vector parallel with the ...

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GROUNDWATER LEVEL SIMULATION USING ANN FOR GANDHINAGAR DISTRICT

GROUNDWATER LEVEL SIMULATION USING ANN FOR GANDHINAGAR DISTRICT

... training algorithm such as Levenberg - Marquardt algorithm (LM), the Bayesian regularization (BR) and the scaled conjugate gradient (SCG) algorithm has also been used to train ...

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Modeling of thermodynamic and physico-chemical properties of coumarins bioactivity against Candida albicans using a Levenberg–Marquardt neural network

Modeling of thermodynamic and physico-chemical properties of coumarins bioactivity against <em>Candida albicans</em> using a Levenberg&ndash;Marquardt neural network

... a LevenbergMarquardt (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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INTRUSION DETECTION USING KERNELIZED SUPPORT VECTOR MACHINE WITH LEVENBERG- MARQUARDT LEARNING

INTRUSION DETECTION USING KERNELIZED SUPPORT VECTOR MACHINE WITH LEVENBERG- MARQUARDT LEARNING

... (EBP) algorithm dependent ...Newton algorithm and the strength of the steepest descent ...of LM algorithm. In the back-propagation algorithm, the performance index to be reduced is ...

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Sea surface salinity retrieval based on Levenberg Marquardt algorithm using satellite data

Sea surface salinity retrieval based on Levenberg Marquardt algorithm using satellite data

... 4. Sea truth data of sea surface salinity and sea surface temperature were used for algorithm validation and the fieldwork was carried out in the coastal water of east coast of Peninsular Malaysia on June 2008 and ...

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Bat BP: a new bat based back propagation algorithm for efficient data classification

Bat BP: a new bat based back propagation algorithm for efficient data classification

... propagation algorithm is a complex task of great importance in the field of supervised ...Bat algorithm is becoming a popular method in solving many complex optimization ...Bat algorithm along with ...

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An Algorithm For Training Multilayer Perceptron (MLP) For Image Reconstruction Using Neural Network Without Overfitting.

An Algorithm For Training Multilayer Perceptron (MLP) For Image Reconstruction Using Neural Network Without Overfitting.

... propagation algorithm for training the multilayer artificial neural ...learning algorithm to train the feed forward neural network to perform a given task based on Levenberg- Marquardt ...

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Performance Evaluation of Neural Network based Cognitive eNodeB in LTE Uplink

Performance Evaluation of Neural Network based Cognitive eNodeB in LTE Uplink

... and Levenberg Marquardt (LM) training algorithm based framework is used to improve inter cell interference coordination (ICIC) and radio resource management (RRM) in LTE ...

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Towards Neural Network Model for Insulin/Glucose in Diabetics-II

Towards Neural Network Model for Insulin/Glucose in Diabetics-II

... the Levenberg- Marquardt (LM) training algorithm of multilayer feed forward neural network (NN), the other one is based on Polynomial Network ...by LM algorithm (abbreviated by ...

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Identification of biomolecule mass transport and binding rate parameters in living cells by inverse modeling

Identification of biomolecule mass transport and binding rate parameters in living cells by inverse modeling

... optimization algorithm and experimental data set to estimate the optimum values of model parameters, imposed initial and boundary condition and other prop- erties of the excitation-response relationship of the ...

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