back-propagation feed-forward networks
Vol 9, No 4 (2019)
... neural networks are a kind of artificial intelligence that works in the principle of a human ...of networks, feedback networks and feed forward ...feedback networks, after the ...
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Neural Network in Image Compression
... the back propagation is very popular for image compression technique The need for effective data compression is evident in almost all applications where storage and transmission of digital images are ...
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Performance Evaluation Analysis of MLP & DG-RBF Feed Forward Neural Networks for Pattern Classification of Handwritten English Curve Scripts Naveen Kumar Sharma 1, S R Pande2 and Manu Pratap Singh 3*
... problem, feed forward neural network trained with back propagation algorithm does not perform better in comparison to feed forward neural network trained with decent gradient ...
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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 cation exchange capacity by using available soil ...neural networks had ...
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Survey on Effective Kidney Stone Disease Diagnosis Using ANN
... neural networks on the basis of its accuracy, time taken to build model, and training data set ...layers feed forward perceptron trained with back propagation training algorithm and ...
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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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Binary Image Segmentation Using Classification Methods: Support Vector Machines, Artificial Neural Networks and Kth Nearest Neighbours
... various networks used in binary image ...Neural Networks (i.e., Feed-forward Back-propagation) and K th Nearest Neighbours algorithm were applied to five different datasets that ...
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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 to the ...
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Brain Tumor Detection and Classification with Feed Forward Back Propagation Network
... Here Feed-forward back propagation neural system is utilized to characterize the execution of tumors part of the ...Neural Networks (ANNs) consist of an interconnection of simple ...
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Prediction of Weld Bead Geometry and Penetration in Electric Arc Welding using Artificial Neural Networks
... the back propagation network is a multilayer feed forward network with a different transfer function in the artificial neuron and more powerful learning ...as back propagation, ...
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Breast Cancer Classification using Feed Forward Back Propagation Neural Network (BPNN) Classifier
... The Backpropagation neural network is the gemstone that enchanted and mesmerized researchers and showed the true power of neural networks. It opened research doors with endless opportunities in various fields of ...
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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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A New and Effective Approach for Fingerprint Recognition by using Feed Forward Back Propagation Neural Network
... Neural networks are very good at pattern-recognition and pattern-matching tasks ...model, back propagation, is a feed- forward model using the generalized delta rule to adjust the ...
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A comparative study of effort estimation techniques using back propagation algorithm
... Back propagation, "backward propagation of errors", is a common method of training artificial neural networks used in conjunction with an optimization method such as gradient ...
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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
... of networks to which it is suited. Backpropagation networks are necessarily multilayer perceptrons (usually with one input, one hidden, and one output ...multilayer networks must have non-linear ...
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GROUP OF RECURRENT NEURAL NETWORKS
... – Forward Back propagation neural network (FFBPNN) [14] and Cascade Forward Back propagation neural network (CFBPNN) [15] shown 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 ...MLP networks are typically used in supervised learning problems ...with ...
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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 ...
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Artificial Intelligence in the Estimation of Patch Dimensions of Rectangular Microstrip Antennas
... During the training process the neural network auto- matically adjusts its weights and threshold values such that the error between predicted and sampled outputs is minimized. The adjustments are computed by the ...
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Event Identification in Prototype Fast Breeder Reactor Subsystem using Artificial Neural Network
... Multilayer feed forward neural network architecture using back propagation algorithm has been used for event identification of primary sodium ...In back propagation algorithm the ...
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