Feed Forward Back Propagation
Breast Cancer Classification using Feed Forward Back Propagation Neural Network (BPNN) Classifier
... In this work, a Feed Forward Back Propagation Neural Network based mammogram classification system was proposed for detection of breast cancer. The biological features as well as the visual ...
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A New and Effective Approach for Fingerprint Recognition by using Feed Forward Back Propagation Neural Network
... Various methods have been used to identify a person through the fingerprint image. In this work to increase the accuracy of the result a new approach have been implemented in which each sample is divided into four parts ...
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Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
... Back propagation calculation is utilized as a part of feed forward ...“feed forward” defines how this neural network works and recalls patterns and the term “back ...
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Brain Tumor Detection and Classification with Feed Forward Back Propagation Network
... classification. Feed forward Back propagation neural network is a multi-level error feed-back network that reduces error ...
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Palmprint Biometrics using Feed Forward Back Propagation Neural Network
... Feed forward back propagation neural network are used for training and testing. Training algorithm is Levenberg- Marquardt, performance is measure by mean square error, and data division is ...
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Predicting the Class of a Mentally Disabled Patient to Check the Level of Mental Retardation by using Feed Forward Back Propagation Neural Network
... Parametric Autoregressive (AR) modeling, AR spectral analysis and power differences between four frequency bands. In another work the neural network has been used to classify EEG data by using autoregressive with maximum ...
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A neural network for counter terrorism
... Feed forward back-propagation neural networks were developed using the JOONE toolset [8] which is an object based neural network framework with a graphical user ...
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Artificial Intelligence in the Estimation of Patch Dimensions of Rectangular Microstrip Antennas
... of back propagation training algorithm of MLFFBP-ANN (Multilayer feed forward back propagation Artificial Neural Network) and RBF-ANN (Radial basis function Artificial Neural ...
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Comparison of artificial neural network and multivariate regression methods in prediction of soil cation exchange capacity (Case study: Ziaran region)
... (feed-forward back propagation network) were employed to develop a pedotransfer function for predicting soil parameter using easily measurable characteristics of clay and organic ...
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A Survey on Rainfall Prediction using Artificial Neural Network
... a back propagation neural network model for rainfall prediction in Chennai, ...the feed forward back propagation ANN can describe the behavior of rainfall-runoff relation more ...
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Comparison of Different Ann Approaches in Daily Pan Evaporation Prediction
... the feed forward back propagation algorithm [13], Radial Basis Neural Network (RBNN) [14] and Generalized Regression Neural Network (GRNN) [15] were ...
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An Algorithm For Training Multilayer Perceptron (MLP) For Image Reconstruction Using Neural Network Without Overfitting.
... layer feed forward back propagation algorithm is used to train the network and tests the performance of the ...of back propagation algorithm with learning, training data set and ...
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Texture Segmention : Comparasion between Clustering and Classification
... is feed forward back propagation Neural ...using Feed Forward Back Propagation algorithm shows promising result compared to unsupervised ...
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Modeling batch annealing process using data mining techniques for cold rolled steel sheets
... The annealing process is one of the important operations in production of cold rolled steel sheets, which significantly influences the final product quality of cold rolling mills. In this process, cold rolled coils are ...
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Face Recognition Using Principal Component Analysis
... Abstract— Face recognition is one of the most relevant applications of image analysis. It’s an efficient task (true challenge) to build an automated system with equal human ability to face recognised. Face is a complex ...
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Simultaneous optimization of material removal rate and surface roughness for WEDM of WC-Co composite using grey relational analysis along with Taguchi method Pages 479-490 Download PDF
... a feed forward back-propagation neural network to correlate the input process parameters, such as pulse on time, pulse-off time, peak current and capacitance with the performance measures ...
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Hybrid Techniques for Arabic Letter Recognition
... the feed-forward back propagation neural networks (FFBPNN) for automatic speech recognition of Arabic letters with their four vowels (Fatha, dhamma, Kasra, ...
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GROUP OF RECURRENT NEURAL NETWORKS
... distance, Feed forward back propagation, Cascade forward back propagation, Elman forward back propagation and ...
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Frame Optimization using Neural Network
... Design optimization of frame structure using approximations based on feed-forward back-propagation neural network was explored in this paper. Implementation of NN has successfully conducted in ...
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A new technique to predict the fractures DIP using artificial neural networks and image logs data
... a feed forward Back Propagation Neural Network (BPNN) will be used to predict the fractures dip angle for the third well using the image log and other geological log data of the two other ...
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