back-error-propagation method
A COMPARATIVE ANALYSIS OF THE RESULTS OF CONVENTIONAL AND COMBINED METHODS OF TRAINING DIRECT PROPAGATION NEURAL NETWORK IN HEALTHY PERSONS TO DETECTING THE DEGREE OF ACTIVITY OF AN AUTONOMOUS NERVOUS SYSTEMFelix A. Pyatakovich*, Lubov V. Khlivnenko, Tatyana I. Yakunchenko, Kristina F. Makkonen, Olga V. MevshaDOWNLOAD/VIEW
... algorithm back propagation, and of that trained by combining a back propagation algorithm and a variant of Cauchy stochastic training, in detecting the degree of activity of an autonomous ...
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Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
... Figure.5 presented the validation performance and MSE of the network starting at a large value and reducing to a small value. The plot consists of three lines for three different steps of training, validation, and test. ...
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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 ...the method validity as results with minimum interferences from noise and artifacts have been ...a ...
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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 method has been implementing on 5 ...analytical method for feature extraction and disease diagnosis using ANN has been successfully ...this method is not suitable for a case where R wave is not ...
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Optical Character Recognition using Neural Network
... This section describes the basics of artificial neural network and different training algorithms of multi layered feed forward neural network. Fig. 3 shows the basic topology of neural network which has an input layer, a ...
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1. Evaluate the performance of power energy output forecasting in photovoltaic cell
... forecasting method based on Artificial Neural Network (ANN) using error Back Propagation (BP) algorithm was ...with back propagation algorithm using MATLAB code and the obtained ...
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Hybrid Optimized Back propagation Learning Algorithm for Multi layer Perceptron
... ABSTRACT Standard neural network based on general back propagation learning using delta method or gradient descent method has some great faults like poor optimization of error-weight obj[r] ...
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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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Adaptive Neuro-Fuzzy Approach To Web-Based Enterprise Software Evaluation
... hybrid method resulted in lower MSE values, faster processing speed, and was better than back-propagation method for all considered ...
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A Robust Intrusion Detection System by Utilizing Support Vector Machine and Error Back Propagation Neural Network
... As In future it need to be improved by putting data on the unsupervised network, so it automatically update the new behavior of the intruder. In future as this work utilizes only KDD’99 dataset, while there are other ...
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The tuning of error signal for back-propagation algorithms
... the method of password based authentication scheme and to get better password based authentication scheme in grid computing environment through its time ...
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UGC Approved Journal | Archive :: iosrjen
... Newton's method to find the stationary point of a function, where the gradient is ...Newton's method assumes that the function can be locally approximated as a quadratic in the region around the optimum, ...
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Application of Artificial Neural Network and Genetic Algorithm for Predicting three Important Parameters in Bakery Industries
... and error in training an ANN for optimizing structural parameters of it, even with less number of data ...powerful method in estimating farinograph properties of ...
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Estimating of Scour in Downstream of the Water Level Regulation Structures
... of error back propagation (BP) were used to estimate maximum water scour depth, and the model which has seven neurons in its hidden layer was produced as the most appropriate ...
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Classification and Identification of Arrhythmia using Machine Learning Technique
... Newton’s method, using the approximate Hessian ...Newton’s method is faster and more accurate near an error minimum; therefore, use of Newton’s method would be ...fastest method for ...
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Real Time Face Recognition Using Step Error Tolerance BPN
... Step 1: (Face Image Acquisition): The face image is acquired by web cam, digital camera or using scanner. Step 2: (Filtering and Clipping): The input face of the system may contain noise and garbage data that must be ...
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Case study of error recovery and error propagation on ranger
... correlation method, the correlated CPU and memory counters on June 05 and 22, July 06, 11 and 24, and August 22 and 30 would not be ...correlation method, the correlated CPU and memory counters on June 16, ...
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An Improved Gauss Newtons Method based Back propagation Algorithm for Fast Convergence
... The system control flow is depicted in Fig.2. The non-linear input parameters are processed through the classifier and data processing unit is required to finalize the data before training and testing. The data ...
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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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