neural network training algorithms
Comparison of Neural Network Training Algorithms for Classification of Heart Diseases
... Artificial neural network (ANN) technique can be used to predict or classification patients getting a heart ...different training algorithms for ANN. We compared eight neural ...
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Configuring spiking neural network training algorithms
... In 1985, Dr. Marian Diamond published anatomical studies of slivers of Einstein’s brain where she claimed that Einstein’s brain had a greater ratio of glial cells to neu- rons compared to a sample group of 11 other ...
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Comparison of Different Neural Network Training Algorithms with Application to Face Recognition
... recognition algorithms are: (1) face detection and normalization and (2) face ...automatic algorithms are those that include both previously mentioned parts, while partially automatic algorithms only ...
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Modelling of direct metal laser sintering of EOS DM20 bronze using neural networks and genetic algorithms
... the neural network were normalized in the scale of 0 to 1. In neural network toolbox of MATLAB, feed-forward networks were developed using 12 different training algorithms, ...
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Verification and validation of neural networks: a sampling of research in progress
... traditional training-validation-testing approach fails to give assurance that a neural network will meet the rigorous standards required for high reliability environments and safety-critical ...most ...
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Swarm-based Algorithms for Neural Network Training
... to training ANNs while also applying PSO variants, backpropagation variants, and Hybrid approaches between PSO and backpropagation using backprop- agation variants as a local search ...ANN training ...
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The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Di erent Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review
... convolutional neural network (CNN), massive training artificial neural network (MTANN), and deep stacked denoising autoencoder extreme learning machine ...and training datasets ...
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Algorithms for Optimized Training of Artificial Neural Networks
... Artificial neural networks (ANNs) are one of the most widely used paradigms in pattern analysis and machine learning ...research. Neural networks (NN) have been used to solve a variety of tasks such as ...
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Artificial Neural Network Prediction of Aluminium Metal Matrix Composite with Silicon Carbide Particles Developed Using Stir Casting Method
... propagation neural network in prediction of some physical properties and hardness of aluminium– copper/silicon carbide composites synthesized by compocasting method using two input ...four training ...
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Application of Differential Evolution Algorithm in Prediction of Time Series Data
... two algorithms differential evolution (DE) and Back propagation (BP) for training a Functional Link Artificial Neural Network (FLANN) based ANN to get optimized value of weights of underlined ...
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Induction Motor Fault Classification using Pattern Recognition Neural Network
... Teachers Training and Research (NITTTR), Panjab University, Chandigarh in the area of condition monitoring of electrical ...learning algorithms, artificial intelligence based computation and multi-agent ...
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A FASTER ESTIMATION ALGORITHM APPLIED TO POWER QUALITY PROBLEMS
... The objective of the paper is to introduce a faster training algorithm for estimation purposes. The proposed algorithm utilizes particle swarm optimization combined with gradient descent to train weights of ...
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Implementation of FMRI Segmentation using ESNN
... ANN training module trains the supervised algorithms namely back propagation algorithm (BPA) and echo state neural network (ESNN) to learn the segmentation of ...the training data used, ...
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SUPERVISED MACHINE LEARNING ALGORITHMS: DEVELOPING AN EFFECTIVE USABILITY OF COMPUTERIZED TOMOGRAPHY DATA IN THE EARLY DETECTION OF LUNG CANCER IN SMALL CELL
... larger training set and deeper network and combine it with convolution neural network, which has been used in CT imaging for different applications [17], ...
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Application of artificial neural network to predict amount of carried weight of cargo train in rail transportation system
... Artificial Neural Network (ANN) to predict the amount of carried weight of cargo train, with KTMB used as the study ...Artificial Neural Network (ANN) has been incorporated for developing a ...
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A Study of Various Training Algorithms on Neural Network for Angle based Triangular Problem
... RBF network is observed, the simulated neural network for the prediction accuracy using radical basis function neural ...simulated network for prediction of errors by changing any ...
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Implementation Of Hybrid Radial Basis Neural Networks For The Classification Of Customers Of An Sme
... basis neural network ...propagation algorithms were used to their ...5) Network training through backward propagation algorithm, 6) Network validation, 7) Network ...the ...
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Artificial Neural Network Involved in the Action of Optimum Mixed Refrigerant (Domestic Refrigerator) (TECHNICAL NOTE)
... (BPA) algorithms for training artificial neural network (ANN) to get the optimum mixture of Hydro fluorocarbon (HFC) and organic compound (Hydrocarbons) for obtaining higher coefficient of ...
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Neural Network Training By Gradient Descent Algorithms: Application on the Solar Cell
... artificial neural network trained at every time, separately, by one algorithm among the optimization algorithms of gradient descent (Levenberg-Marquardt, Gauss-Newton, Quasi-Newton, steepest descent ...
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Prediction of Gum Disease Severity on the basis of Symptoms and Risk factors using Neural Network
... artificial neural network mode is helpful in clinical ...the neural network model .Various training algorithms are used to train the neural network ...effective ...
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