Levenberg Marquardt
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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Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg–Marquardt Algorithm to minimise backpropagation errors
... 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 ...
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A new levenberg marquardt based back propagation algorithm trained with cuckoo search
... colony Levenberg Marquardt algorithm (ABC-LM), Artificial Bee Colony Back Propagation (ABC-BP) algorithm and simple back propagation neural network (BPNN) based on MSE and maximum epochs was set to ...
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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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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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Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training
... However, there are a lot of problems that remain open in classification. For example, network topology selection problem, determining the number of hidden layers and neurons interpretation of weighting coefficients and ...
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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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STUDY ON WAX DEPOSITION RATE OPTIMIZATION ALGORITHM BASED ON LEVENBERG-MARQUARDT ALGORITHM AND GLOBAL OPTIMIZATION
... In order to accurately obtain the wax deposition rate model, according to the kinetic principle of wax deposition, several factors affecting the wax deposition rate were selected, and by a optimization software of First ...
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Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter
... Abstract -- This paper investigates how to train a recurrent neural network (RNN) using the Levenberg-Marquardt (LM) algorithm, as well as how to implement optimal control of a grid- connected converter ...
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Induction Motor Speed Control with Fast Response using the Levenberg Marquardt method for Electric Cars
... Drive system at a low speed electric cars have a hard speed setting is set on a wide range, causing an inconvenience for motorists and a fast response is required any change of speed. It is necessary for good system ...
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Prediction of air temperature using Multi-layer perceptrons with Levenberg-Marquardt training algorithm
... (Traingdx), Levenberg-Marquardt (Trainlm), an intersecting step (Trainoss), random training with incremental learning (Trainr), elastic (Trainrp), and batch training with weight and bias learning rules ...
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Kernelized Extreme Learning Machine with Levenberg Marquardt Learning Approach towards Intrusion Detection
... Network and system security is of vital importance in the present data communication environment. Hackers and intruders can create many successful attempts to cause the crash of the networks and web services by ...
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Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method
... a Levenberg–Marquardt method, with the regularization done by a multiplicative inflation of the covariance in the linearized problem rather than adding a Tikhonov regularization ...
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A new Cuckoo Search Based Levenberg Marquardt (CSLM) algorithm
... with Levenberg marquardt training algorithm has some drawbacks such as getting stuck in local minima, and net- work ...improved Levenberg-Marquardt back propagation (LMBP) algorithm integrated ...
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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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Local convergence of the Levenberg-Marquardt method under Hölder metric subregularity
... In our first main result, Theorem 1, we provide an interval depending on δ and υ where the parameter η must be chosen to guarantee the superlinear convergence of the sequence generated by the ...
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Calibration of an Inertial Accelerometer using Trained Neural Network by Levenberg-Marquardt Algorithm for Vehicle Navigation
... The remainder of this paper is as follows. In section 2, the structure of artificial neural networks is presented. Section 3 describes Levenberg-Marquardt algorithm, which is used in this paper to train ...
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Sea surface salinity retrieval based on Levenberg Marquardt algorithm using satellite data
... To develop a tool for the SMOS sea surface salinity retrieval based on a non-linear inversion algorithm using the ocean surface brightness temperature data.. To validate the SMOS sea s[r] ...
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Adaptive Predistortions Based on Neural Networks Associated with Levenberg Marquardt Algorithm for Satellite Down Links
... Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2008, Article ID 132729, 15 pages doi 10 1155/2008/132729 Research Article Adaptive Predistortions Based[.] ...
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Neural Network Training By Gradient Descent Algorithms: Application on the Solar Cell
... ABSTRACT: This present paper deals with the parameter determination of solar cell by using an artificial neural network trained at every time, separately, by one algorithm among the optimization algorithms of gradient ...
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