Levenberg-Marquardt optimization algorithms
Neural Network Training By Gradient Descent Algorithms: Application on the Solar Cell
... the optimization algorithms of gradient descent (Levenberg-Marquardt, Gauss-Newton, Quasi-Newton, steepest descent and conjugate ...training algorithms in order to know which one had ...
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STUDY ON WAX DEPOSITION RATE OPTIMIZATION ALGORITHM BASED ON LEVENBERG-MARQUARDT ALGORITHM AND GLOBAL OPTIMIZATION
... global optimization in the 1960s, most people's attention at that time focused on linear programming and nonlinear programming localized numerical ...local optimization algorithm is far more mature than the ...
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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 network stagnancy ...improved Levenberg-Marquardt back propagation (LMBP) algo- rithm ...
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A new levenberg marquardt based back propagation algorithm trained with cuckoo search
... popular optimization task in finding an optimal weight sets during the training ...propagation algorithms have some drawbacks such as getting stuck in local minimum and slow speed of ...improved ...
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Indian stock market prediction using artificial neural networks on tick data
... learning algorithms, i.e., Levenberg-Marquardt, Scaled Conjugate Gradient and Bayesian Regularization by predicting over tick by tick dataset and 15-min ...on Levenberg-Marquardt ...
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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 ...
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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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Prediction of air temperature using Multi-layer perceptrons with Levenberg-Marquardt training algorithm
... learning algorithms were tested to obtain the fastest appropriate algorithm for the training ...The algorithms studied are: BFGS quasi-Newton (Trainbfg ), Bayesian regularization (Trainbr), Powell-Beale ...
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Online Signature for Attendance Verification System using Levenberg-Marquardt Neural Network
... The features extracted from signature images acquired by the signature tablet are obtained via image preprocessing and analysis algorithms. The same steps are involved either during enrolment or verification but ...
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Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training
... training algorithms and apply and test them in classification and recognition ...improve Levenberg-Marquardt (LM) algorithm and make it better usable in training neural ...
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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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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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Reconstruction Algorithm for Microwave Tomography Using Iterative Regularized Levenberg-Marquardt Method
... case, algorithms developed were in the ideal ...further algorithms (gauss-Newton algorithm) that shows that nosy reconstruction images becomes Similar that was obtained in ideal ...
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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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Calibration of an Inertial Accelerometer using Trained Neural Network by Levenberg-Marquardt Algorithm for Vehicle Navigation
... Where a r is the reference signal. In Table 1, the performance of the proposed method is compared with Gradient Descent (GD) and Newton algorithms. Fig. 4 shows the outputs of neural networks trained by mentioned ...
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Machine learning in Dynamic Adaptive Streaming over HTTP (DASH)
... in optimization, parallel computing, matrix algebra and signal processing ...and Levenberg-Marquardt variations of the backpropagation algorithm (BA), the Neural Network BAs also covers Bayesian ...
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Effect of Training Algorithms on the Performance of ANN for Pattern Recognition of Bivariate Process
... After the network have been trained using the training set and appropriate weights for the difference between the target and actual output of the network model was obtained and saved. The trained neural network was used ...
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GROUNDWATER LEVEL SIMULATION USING ANN FOR GANDHINAGAR DISTRICT
... as Levenberg-Marquardt algorithm (LM), the Bayesian regularization (BR), and the scaled conjugate gradient (SCG) algorithm has also been used to train the ...
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Induction Motor Speed Control with Fast Response using the Levenberg Marquardt method for Electric Cars
... with Levenberg Marquardt ...the Levenberg Marquardt without PID controller simulation results obtained are fast response time, but still indicate the presence of overshoot (shown in the figure ...
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A Feed-Forward Neural Network Model For The Accurate Prediction Of Diabetes Mellitus
... This paper presents a multi-layer feed-forward neural network for the prediction of DM using risk factors in the PIMA Indian DM dataset. The Levenberg-Marquardt training algorithm was used to train the ...
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