Feed Forward Back Propagation (BP)
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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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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Combined Sewer Overflow forecasting with Feed-forward Back-propagation Artificial Neural Network
... —A feed-forward, back-propagation Artificial Neural Network (ANN) model has been used to forecast the occurrences of wastewater overflows in a combined sewerage reticulation ...
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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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Palmprint Biometrics using Feed Forward Back Propagation Neural Network
... The paper uses the ANN architecture for feed forward back propagation learning algorithm to create, train and test the neural network for palm print recognition. In addition, MATLAB software ...
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A New and Effective Approach for Fingerprint Recognition by using Feed Forward Back Propagation Neural Network
... difference between the actual network output value and the desired output value. Neural networks are very good at pattern-recognition and pattern-matching tasks [14]. The most popular neural network model, back ...
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Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
... ABSTRACT: In recent days, agriculture crop price examination is emerging as a significant research field. In this scenario, Mysore district (Karnataka) is undertaken for research investigation. One of the major concern ...
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GROUP OF RECURRENT NEURAL NETWORKS
... Cascade forward back propagation neural model and Feed forward back propagation network model have been found to be better than the results presented in the literature ...
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Performance Analysis of ANN Model for Estimation of Trophic Status Index of Lakes
... on feed forward back propagation trained with LM and BFGS Quasi-Newton algorithm were developed to compute and predict the eutrophication level of water ...
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Prediction, classification and diagnosis of spur gear conditions using artificial neural network and acoustic emission
... This research investigated the possibility of improving accuracy of spur gear condition monitoring and fault diagnoses by using Feed-Forward Back- Propagation Neural N[r] ...
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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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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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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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Predicting Density and Compressive Strength of Concrete Cement Paste Containing Silica Fume Using Articial Neural Networks
... the feed-forward back-propagation type has been applied for the prediction of density and compressive strength properties of the cement paste portion of concrete ...
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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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Image Reconstruction Using Multi Layer Perceptron (MLP) And Support Vector Machine (SVM) Classifier And Study Of Classification Accuracy
... layer feed forward back propagation algorithm is used to train the network and tests the performance of the ...with back propagation algorithm including BPN program training and ...
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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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Early Detection and Prediction of Lung Cancer Survival using Neural Network Classifier
... Supervised feed-forward back-propagation neural network ensemble used as a classifier tool. As discussed previously, neural network differs in various ways from traditional classifiers like ...
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Vol 9, No 4 (2019)
... network, Feed forward back propagation network, Feed forward network with no feedback and Radial basis function network for predicting the breast ...
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PREDICTION OF MONTHLY RAINFALL OF MANSA REGION USING ARTIFICIAL NEURAL NETWORK (ANN)
... Fit, Feed Forward Back propagation, Cascade Forward Back propagation neural networks model for predicting the average monthly rainfall of Mansa ...Cascade forward ...
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