Feed forward back-propagation (FFB)
Brain Tumor Detection and Classification with Feed Forward Back Propagation Network
... classification. Feed forward Back propagation neural network is a multilevel error feed-back network that reduces error ...
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An Efficient Optimization based Vehicle Movement Prediction with Aid of Feed Forward Back Propagation Neural Network
... Moving vehicle location prediction method mainly based on their spatial and temporal data .The moving objects has been developed as a specific research area of Geographic Information Systems (GIS). Most of the techniques ...
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Brain Tumor Detection and Classification with Feed Forward Back Propagation Network
... classification. Feed forward Back propagation neural network is a multilevel error feed-back network that reduces error ...
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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
... Mental disorders have a large impact on individuals, families, and communities, and are one of the main causes worldwide of disability and distress. Correct diagnosis of mental disorders is essential in clinical ...
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Estimation of Water Level Variations in Dams Based on Rainfall Data using ANN
... using Feed Forward Back Propagation gave best results among three developed ANN ...inputs. Feed Forward Back propagation gives the best output having RMSE; ...using ...
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A Novel Approach of Handwritten Devanagari Character Recognition through Feed Forward Back Propagation Neural Network
... Handwritten character recognition plays an important role in the modern world. It can solve more complex problems and makes human’s job easier. The present paper portrays a novel approach in recognizing handwritten ...
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Estimation of Water Level Variations in Dams Based on Rainfall Data using ANN
... using Feed Forward Back Propagation gave best results among three developed ANN ...inputs. Feed Forward Back propagation gives the best output having RMSE; ...using ...
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Biometric recognition system vein pattern verification using palm dorasum
... networks. Back propagation requires an obvious; crave output for each input value in order to calculate the minimal loss function of the ...A feed forward back propagation is a ...
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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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New Approaches for Image Compression Using Neural Network
... An image consists of large data and requires more space in the memory. The large data results in more transmission time from transmitter to receiver. The time consumption can be reduced by using data compression ...
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Using feed forward back propagation (FFBP) neural networks for compressive strength prediction of lightweight concrete made with different percentage of scoria instead of sand
... 1. The water-cement ratio, cement, and scoria percen- tage were the input, and the compressive strength of lightweight concrete was the output of the network. 2. The architecture of the selected network was 3-10-1. 3. A ...
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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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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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Brain Tumor Recognition/Classification By Using Feed Forward Back Propagation Neural Network Mr M V Ramana & Dr B Venkata Raman
... uses back propagation along with feed forward by using neural network techniques to detect earlier and quickly, which in turn helpful to doctors for curing disease ...layers feed ...
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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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A hybrid framework for brain TUMOR detection and classification using neural network
... using Back Propagation Algorithm defined by Levenberg-Marquardt (LM) ...algorithm. Feed Forward Neural Network (FFNN) is used for the classification of MR ...
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B cell and T cell Leukemia Classification using Genetic Algorithm, PCA, SVM and ANN
... features. Feed forward back propagation neural network is used and support vector machine for the classification purpose in the second phase and finally their results are ...
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Machine Learning for Adaptive Many Core Machines A Practical Approach (Studies in Big Data) 2015th Edition pdf
... Abstract. In this chapter we review the basic aspects of Neural Networks (NNs) and investigate techniques for reducing the amount of time necessary to build NN models. With this goal in mind, we present the details of a ...
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Speed Prediction of DC Shunt Motor by using Artificial Neural Network.
... standard back-propagation algorithm with normalized preprocessed data is used to predict and show the pattern of correlation of input in relation to the ...
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Optimization of Power system with Automatic Voltage Regulator using Soft Computing Techniques
... study, feed-forward ANN which contains three layers (Two hidden layers and one output layer) is trained by using Back propagation algorithm to determine the proper adjustment of the reactive ...
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