back-propagation neural network training
Analysis of a Nature Inspired Firefly Algorithm based Back propagation Neural Network Training
... based back-propagation neural network and convergence parameters of this algorithm are compared with the proposed ...the training performance of back- propagation ...
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A Robust Intrusion Detection System by Utilizing Support Vector Machine and Error Back Propagation Neural Network
... Intrusion Detection System (IDS) is an example of exploitation Detection System that works for detecting malicious attacks. This can be described as software for security management. Many researchers have proposed the ...
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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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A review on Compressing Image Using Neural Network techniques
... the back propagation neural network and also combining the Levenberg-Marquardt concept with ...the network based upon the complexness of the value of ...the back ...
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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 ...
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Content Based Image Retrieval for Medical Imaging Using Fuzzy FFBP Neural Network Approach
... to neural network .In FFBP NN, Training is done using feed forward back propagation neural network for image ...to neural network is features vectors ...
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A comparative performance evaluation of neural network based approach for sentiment classification of online reviews
... Artificial neural net- works (ANNs) are rarely being investigated in the literature of sentiment ...compares neural network based sentiment classification methods (back propagation ...
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Performance comparison of three artificial neural network methods for classification of electroencephalograph signals of five mental tasks
... Multilayer Back propa- gation Neural Network, Support Vector Machine and Radial Basis Function Neural ...five training methods used were a) Gradient De- scent Back ...
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Artificial Neural Network Prediction of Aluminium Metal Matrix Composite with Silicon Carbide Particles Developed Using Stir Casting Method
... forward back propagation neural network in prediction of some physical properties and hardness of aluminium– copper/silicon carbide composites synthesized by compocasting method using two ...
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Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier
... Probabilistic Neural Network (PNN) as paddy diseases ...Probabilistic Neural Network (PNN) proposed by Donald Specht in 1990 as an alternative back-propagation neural ...
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A Hybrid Differential Evolution and Back Propagation Algorithm for Feedforward Neural Network Training
... artificial neural network (ANN) is a well-known computational model which maps input patterns from measurement space into pre- defined classes in the decision ...feedforward neural net- works (FNN) ...
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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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Spatio-Temporal Neural Data Mining Architecture in Learning Robots
... The back-propagation, multi-layer, feed-forward neural network is a supervised learning approach which involves training the network using both the inputs and the required ...
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Artificial Neural Network Involved in the Action of Optimum Mixed Refrigerant (Domestic Refrigerator) (TECHNICAL NOTE)
... and back propagation (BPA) algorithms for training artificial neural network (ANN) to get the optimum mixture of Hydro fluorocarbon (HFC) and organic compound (Hydrocarbons) for ...
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A Study on the Application of Neural Network to the Prediction of Weight Control
... of back-propagation neural network in order to provide such information as reference for obese people to lose ...the back-propagation neural network software – ...
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Comparison of MLP NN Approach with PCA and ICA for Extraction of Hidden Regulatory Signals in Biological Networks
... solution network is shown in ...MLP neural network described above and training with a back- propagation approach, showed that the resulted pure components spectra, [ε], agreed ...
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Unleashing Power of Artificial Intelligence for Network Intrusion Detection Problem
... Back propagation is a supervised learning method of teaching artificial neural ...of back propagation is to train the net to achieve a balance between the ability to respond correctly ...
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Prediction of Collapse Potential for Compacted Soils Using Artificial Neural Networks
... The back propagation algorithm, as described by Rumelhart et ...and back propagated through the network using a gradient- descent ...the network is said to be ...the network, it ...
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Mill Load Control System Based on the Improved Ant Colony Neural Network
... of neural networks were trained using gradient descent algorithm such back propagation algorithm (BP) with a longer convergence time and more probability to fall into local ...the neural ...
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Implementation of Neural Network Back Propagation Training Algorithm on FPGA
... Artificial Neural Network (ANN) chip, which can be trained to implement certain ...Usually training of neural networks is done off-line using software tools in the computer ...The ...
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