back-propagation network training algorithm
A Hybrid Differential Evolution and Back Propagation Algorithm for Feedforward Neural Network Training
... the network weights and second, then the network is ready to test a new set of data ...used training algorithm is the back- propagation training algorithm [10, 11] ...
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Diagnosis of thyroid disorders using Back propagation method
... neural network methods, namely feed-forward neural network with back propagation algorithm and binary adaptive resonance ...and training data required are developed for the ...
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Mill Load Control System Based on the Improved Ant Colony Neural Network
... descent algorithm such back propagation algorithm (BP) with a longer convergence time and more probability to fall into local ...colony algorithm, as a global optimization-based ...
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Neural Model for Circular-Shaped Microshield and Conductor-Backed Coplanar Waveguide
... This algorithm is a network training function that updates weight and bias values according to the conjugate gradient back propagation with Polak-Ribiere ...any network as long ...
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A Survey on Handwritten Devanagari Character Recognition using Neural Network
... neural network approach, in which creating a Character Matrix and a corresponding suitable network Structure is ...Forward Algorithm gives insight into the entire working of a neural network; ...
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Artificial Neural Network Modelling of Traffic Noise in Agra Firozabad Highway
... forward network may not be sufficient to handle the prediction ...recurrent back propagation algorithm for the data, generated from the above batch experiments was applied to train the Neural ...
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UGC Approved Journal | Archive :: iosrjen
... Back propagation algorithm, the common and most widely used algorithm in training artificial neural network learns by calculating an error between desired and actual output and ...
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Bat BP: a new bat based back propagation algorithm for efficient data classification
... the training time of the ...the network stagnancy and to speed up the network ...colony back-propagation (ABC- BP) algorithm [11-12], genetic algorithm (GA) [13], hybrid ...
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Neural Network based Approach for Recognition of Text Images
... the network. RCS algorithm uses Back propagation algorithm [2] where Java Neural Network is used for implementation which provides a complete tool bar for training, ...
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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 ...
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Analysis of a Nature Inspired Firefly Algorithm based Back propagation Neural Network Training
... EVALUTION The performance analysis of proposed firefly based backpropagation algorithm is performed on the basis of correct rate of classification and average sum of squared error SSE va[r] ...
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Maintainability Prediction for Software based on Class Diagram using Back Propagation Neural Network and Coco Search Algorithm
... Neural network considered successful in many applications but is subject to a problem Network paralysis The result of the wrong selection of weights, especially if weights were chosen large numbers, it ...
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Optimized Face Recognition Technique based on PCA and RBF Neural Network
... of training samples we compute the training time for both the techniques, neural network using Back Propagation algorithm and the proposed approach using optimized RBF neural ...
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Bandwidth Analysis by Introducing Slots in Microstrip Antenna Design Using ANN
... input-output training patterns and 50 inputs-output test patterns to validate the ...The network has been trained for different coordinate values of both the slots, but in a specified ...the training ...
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A Novel Classification Technique for Visual Evoked Potentials Based on Spectral Features using Neural Network
... neural network model is developed with spectral features as the input vector and normal, ON & ION are the target ...using back propagation algorithm and tested with variable nodes in both ...
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Optical Character Recognition using Neural Network
... neural network and different training algorithms of multi layered feed forward neural ...neural network which has an input layer, a hidden layer and an output ...
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Event Identification in Prototype Fast Breeder Reactor Subsystem using Artificial Neural Network
... neural network (ANN) model for event identification of Primary Sodium System of Prototype Fast Breeder ...The training data for modeling the neural network is prepared using the thermo hydraulics ...
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Implementation of Neural Network Back Propagation Training Algorithm on FPGA
... neural network selected to implement basic digital gates ...The network has two inputs x1 and x2 with output ...the network, MATLAB analysis is done on the neural network architecture and it ...
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Resilient Back Propagation Algorithm in the Prediction of Mother to Child Transmission of HIV
... neural network model need to be estimated before the network can be used for prediction ...After training with acceptable error the weights are set into the network then the trained ...
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Classification Using Two Layer Neural Network Back Propagation Algorithm
... neural network back propagation method was proposed to diagnose the breast ...neural network back propagation algorithm input layer is not counted because it serves only ...
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