Levenberg-Marquardt back propagation algorithm
A Feed-Forward Neural Network Model For The Accurate Prediction Of Diabetes Mellitus
... the Levenberg-Marquardt back-propagation algorithm was used for training and ...The algorithm ―trainlm‖ was the fastest back-propagation ...
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A new levenberg marquardt based back propagation algorithm trained with cuckoo search
... tope algorithm [14], a global search procedure such as evolutionary programming [15], and genetic algorithm (GA) ...Error Back Propagation [13], Quick prop algorithm [18], Resilient ...
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An Algorithm For Training Multilayer Perceptron (MLP) For Image Reconstruction Using Neural Network Without Overfitting.
... and Levenberg-Marquardt back-propagation algorithm is used for training the ...with back-propagation algorithm using MATLAB R2013a which is shown in Figure ...the ...
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A new Cuckoo Search Based Levenberg Marquardt (CSLM) algorithm
... and back propagation algorithm ...on back propagation [9-10]. The back-propagation (BP) learning has become the most stan- dard method and process in adjusting weight and ...
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Bat BP: a new bat based back propagation algorithm for efficient data classification
... particularly back 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 ...
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Support Vector Machine Neural Network Based Optimal Binary Classifier for Diabetic Retinopathy
... as Levenberg-Marquardt learning algorithm, classification tree analysis, Probabilistic Neural network , Bayesian Classification and Support vector machine and Multilayer Perceptron (MLP), Generalized ...
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Analysis of Heat Exchanger Process with Long Dead Time
... using Levenberg Marquardt Algorithm. This algorithm train’s artificial neural network 10 to 100 times faster than the usual back propagation algorithm is the ...
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Optical Character Recognition using Neural Network
... Error-back propagation algorithm is used to train the multi layered feed forward neural ...and Levenberg-Marquardt algorithm based training is also used in error back ...
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Comparison of Different Ann Approaches in Daily Pan Evaporation Prediction
... many algorithm types which developed within ...ANN algorithm; Levenberg-Marquardt algorithm which is one of the feed forward back propagation algorithm [13], Radial ...
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Radon Neutral work for Biomedical Image Processing
... with back propagation ...with Levenberg- Marquardt method that comes under back propagation algorithm for calculating the weights in the network based on minimizing the ...
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Sentiment Analysis of Social Media Text Data using Back Propagation in Artificial Neural Networks
... fed back to the neural network which updates the weights of the neural ...The Levenberg Marquardt (LM) algorithm is used in the present approach to employ back propagation in the ...
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The Prediction of Propagation Loss of FM Radio Station Using Artificial Neural Network
... In this study, one of the artificial neural networks models, Levenberg-Marquardt algorithm, which is quite effective for predicting the propagation is used and the results obtained by th[r] ...
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Prediction of air temperature using Multi-layer perceptrons with Levenberg-Marquardt training algorithm
... Other authors [3] have used artificial neural networks to predict air temperature in Jeddah in Saudi Arabia. They founded effective results even with a single entry. Also, Dombayc et al. [1] have used artificial neural ...
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Effect of Training Algorithms on the Performance of ANN for Pattern Recognition of Bivariate Process
... To perform a thorough pattern recognition study through training, validation and testing of the ANN model using the training algorithms required large multivariate correlated samples which ideally ought to be collected ...
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STUDY ON WAX DEPOSITION RATE OPTIMIZATION ALGORITHM BASED ON LEVENBERG-MARQUARDT ALGORITHM AND GLOBAL OPTIMIZATION
... optimization algorithm is far more mature than the global optimization algorithm, and has the characteristics of general easy ...optimization algorithm is becoming mature and perfect, Grossmann and ...
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Identification of biomolecule mass transport and binding rate parameters in living cells by inverse modeling
... optimization algorithm was carried out using different initial guesses for the parameter vector ( β = [D f , , K d ...optimization algorithm was used to esti- mate a single parameter for both noise-free and ...
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Real-time smart and standalone vision/IMU navigation sensor
... odometry algorithm is run on a nano ITX single-board computer (SBC) of ...tracking algorithm benefits from assistance of a 100 Hz IMU whose accelerometer and gyroscope data provide inertial features ...
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Exploring on Urban Land Development Intensity based on Artificial Neural Network Methods
... Abstract—A modest development intensity for urban land benefits both ecological protection and living spaces improvement. It is an important indicator for urban land development intensity (ULDI) to measure the city ...
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Neural Network Training By Gradient Descent Algorithms: Application on the Solar Cell
... CG algorithm to converge quickly (Table 1) compared to ...LM algorithm presents the best behavior of the convergence compared to other algorithms, due to the combination between the features of SD and ...
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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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