error back-propagation
A Robust Intrusion Detection System by Utilizing Support Vector Machine and Error Back Propagation Neural Network
... Abstract: The concept of Intrusion Detection System is used in the work. The data set is used for training and testing. Various numeric features of dataset are selected for better accuracy.SVM that is Support Vector ...
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A REAL TIME QRS DETECTION SYSTEM USED ERROR BACK PROPAGATION NEURAL NETWORK
... fast Error Back Propagation Neural Network (EBP-NN) algorithm for QRS complex locations is ...a Back propagation neural ...of back propagation neural network is ...
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ECG Signal Compression using Improvised Error Back Propagation Neural Network with GDAL
... improvised Error Back Propagation Neural Network with Gradient Descent Learning rate for network to learn with in an adaptive ...square Error (PRD) between 2 to 7 is achieved with this ...
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DISEASE DIAGNOSIS OF HEART MUSCLES USING ERROR BACK PROPAGATION NEURAL NETWORK
... The death caused by heart diseases has become a serious problem, how to diagnose heart diseases efficiently plays a more important role recently. This study presents a comparative study of the classification, accuracy of ...
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A new Cuckoo Search Based Levenberg Marquardt (CSLM) algorithm
... including Error Back Propagation [13], Quick prop algorithm [18], Resi- lient Error Back Propagation [19], Back percolation, Delta-bar-Delta, Cascade Corre- lation [20] ...
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Optical Character Recognition using Neural Network
... compared. Error-back propagation algorithm is used to train the multi layered feed forward neural ...in error back propagation algorithm ...
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Application of Artificial Neural Network and Genetic Algorithm for Predicting three Important Parameters in Bakery Industries
... with error back-propagation learning algorithms were applied for predicting three important farinograph properties of dough (water absorption, dough development time and farinograph quality number) ...
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Modeling of SVC Controller based on Adaptive PID Controller using Neural Networks
... on error back propagation algorithm (EBPA), the results shows the effects of both controlling schemes of intelligent controllers at the response of the system model under various loading conditions, ...
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Estimating of Scour in Downstream of the Water Level Regulation Structures
... The first works on artificial neural networks were done by Mac Cloth and Pitters in 1943. Frank Rouzenblot also in 1958 described perceptron network. Hapelfild in 1958 by describing reversal networks and David Ramelhart ...
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1. Evaluate the performance of power energy output forecasting in photovoltaic cell
... with error back propagation algorithm using an error correction learning ...Basically, error back learning consists in two pass through the different layers of the network, a ...
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Complex Valued Recurrent Neural Network: From Architecture to Training
... The Complex Valued Recurrent Neural Network (further CVRNN) is a straight forward generalization of the real- valued RNN. The algorithms which are used for CVR- NNs can be also used for RNNs without loss of general- ity. ...
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Hybrid Optimized Back propagation Learning Algorithm for Multi layer Perceptron
... Figure-1. Multi-layer perceptron network There are three major layers in a multilayer perceptron network , first layer in input layer where input signal is fed to the nodes of network (1,2,…,n), second layer is hidden ...
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Speed Prediction of DC Shunt Motor by using Artificial Neural Network.
... 215 And the additional optional test for testing data on the basis of network design by the training data is unable to produce the error of the testing data. To overcome this type of error of Network ...
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Weight Optimization in Recurrent Neural Networks with Hybrid Metaheuristic Cuckoo Search Techniques for Data Classification
... and back propagation through time (BPTT) algorithm to observe the difference of Arabic alphabetic like “alif ” to ...the back propagation (BP), adaptive BP (ABP), momentum back ...
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Handwritten Character Recognition Using Competitive Neural Trees
... and back-propagation neural ...in back-propagation neural network as input nodes. The back-propagation algorithm has been used to train the feed-forward neural network and ...
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Operational Aspects of Decision Feedback Equalizers
... Error propagation in a tuned DFE is also examined in a deterministic ...finite error recovery time problem is set up as an input-output stability ...
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CMM’s Styli Length Effect On Error Propagation
... are propagation errors and normally depend upon a number of factors including probe orientation, stylus length, diameter, measuring speed, trigger force and ...
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Back Propagation SIFT using Fuzzy Logic
... FRAME WORK FOR PROPOSED APPROACH Above research is done in three steps named as index generation by using k means clustering algorithm, Content based image retrieval using SIFT, relevanc[r] ...
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The effect of adaptive parameters on the performance of back propagation
... The BP algorithm is well-known for its extraordinary ability to derive meaning from complicated or imprecise data that are too complex to be noticed by either humans or other computer techniques. In some practical ...
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GROUP OF RECURRENT NEURAL NETWORKS
... Feed – Forward Back propagation neural network (FFBPNN) [14] and Cascade Forward Back propagation neural network (CFBPNN) [15] shown in Figs. [1] are used in this work. A FFBPNN and CFBPNN ...
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