Feed Forward Back Propagation Neural Network
Breast Cancer Classification using Feed Forward Back Propagation Neural Network (BPNN) Classifier
... a Feed Forward Back Propagation Neural Network based mammogram classification system was proposed for detection of breast ...
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A New and Effective Approach for Fingerprint Recognition by using Feed Forward Back Propagation Neural Network
... After finding the histogram equivalent of each part of the fingerprint image of the given binary numbers, these histogram values are taken as input and some random values are assigned as target values to train, test and ...
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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
... Artificial Neural Network. Artificial Neural Network is currently a „hot‟ research area in medicine and it is believed that this will receive extensive application to biomedical systems in the ...
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Palmprint Biometrics using Feed Forward Back Propagation Neural Network
... A biometric system provides more efficient and reliable means of identity verification. By this biometric verification it can be decided whether print based identity verification system has been widely used in various ...
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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 ...
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Frame Optimization using Neural Network
... on feed-forward back-propagation neural network was explored in this ...show neural network performs well to predict the optimization ...
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Hybrid Techniques for Arabic Letter Recognition
... The used corpus of experimentation is based on all Arabic letters with their four vowels pronounced by four speakers. The main features were extracted by using separately different known techniques in speech analyzing ...
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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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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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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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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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Early Detection and Prediction of Lung Cancer Survival using Neural Network Classifier
... Supervised feed-forward back-propagation neural network ensemble used as a classifier ...previously, neural network differs in various ways from traditional ...
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New Approaches for Image Compression Using Neural Network
... type neural network which is used to change the dimension of feature eigenvector matrix effi- ciently as well as reconstruction of an original image ...type feed forward back ...
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B cell and T cell Leukemia Classification using Genetic Algorithm, PCA, SVM and ANN
... applied feed forward back propagation neural network(FFBNN) and support vector machines(SVM) for precisely classifying the genes into their respective ...
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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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A Survey on Rainfall Prediction using Artificial Neural Network
... a back propagation neural network model for rainfall prediction in Chennai, ...use neural network and regression technique for rainfall-runoff prediction and finally they ...
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The Effect of Process Parameters on Penetration in Shielded Metal Arc Welding under Magnetic Field using Artificial Neural Networks
... Artificial Neural Networks (ANN) and expert system have been deployed as key techniques for monitoring and controlling welding ...electrode feed rate, arc length and arc spread as influential factors for ...
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An Algorithm For Training Multilayer Perceptron (MLP) For Image Reconstruction Using Neural Network Without Overfitting.
... The back propagation algorithm was developed by Paul Werbos in 1974 and rediscovered independently by Rumelhart and Parker ...the back propagation algorithm has been widely used as a learning ...
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A new technique to predict the fractures DIP using artificial neural networks and image logs data
... artificial neural networks have been adequately described elsewhere ...three-layer feed-forward network formed by one input layer consisting of a number of neurons equal to the number of ...
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