Back Propagation Neural Network (bpn)
APPLICATION OF CELLULAR AUTOMATA FOR MODELING AND REVIEW OF METHODS OF MOVEMENT OF A GROUP OF PEOPLE
... artificial neural networks (ANN), which is a supervised, self-learning technique [8], [9], that can find the smooth approximation between input and output ...is back propagation neural ...
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Performance comparison of three artificial neural network methods for classification of electroencephalograph signals of five mental tasks
... Multilayer Back propagation Neural Network For this classifier, a two layer feed forward neural network was used with topology of {10, 1} 10 neurons in hidden layer and 1 neuron ...
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License Plate Recognition System using Back Propagation Neural Network
... 4: Back Propagation Neural Network extended gradient descent based Delta learning rule, commonly known as Back Propagation ...a neural network to perform some task, ...
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A New Approach for Rainfall Prediction using Artificial Neural Network
... Abstract: Rainfall is considered as one of the major components of the weather forecasting. In the current world climate change, the accuracy of rainfall forecasting model is very important factor. Rainfall affects the ...
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A Robust Intrusion Detection System by Utilizing Support Vector Machine and Error Back Propagation Neural Network
... Abstract: The concept of Intrusion Detection System is used in the work. The data set is used for training and testing. Various numeric features of dataset are selected for better accuracy.SVM that is Support Vector ...
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Medical Image Security Using Watermarking In Back Propagation Neural Network
... a back propagation neural network where the secret image is embedded along with different noise ...existing neural network algorithms back propagation algorithm ...
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A new back propagation neural network optimized with cuckoo search algorithm
... Table 2 give an idea about the CPU time, number of epochs and the mean square error for the 2 bit XOR data sets with ten hidden neurons. From the table, we can identify that the proposed CSBP method has better result ...
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Face Detection and Recognition using Back Propagation Neural Network (BPNN)
... Neural networks, with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other ...
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A review on Compressing Image Using Neural Network techniques
... the back propagation neural network and also combining the Levenberg-Marquardt concept with ...the network based upon the complexness of the value of ...the back ...
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Analysis of Banknote Authentication System using Machine Learning Techniques
... as Back propagation Neural Network (BPN) and Support Vector Machine (SVM) are used for differentiating genuine banknotes from fake ...
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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 ...forward back propagation neural ...
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Intelligent Search for Distributed Information Sources Using Heterogeneous Neural Networks
... This network is also semantic network and works in a spreading activation ...Forward network adopts Back Propagation (BP) algorithm which makes the network to be trained in a ...
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Backpropagation Neural Network Algorithm for Water Level Prediction
... applying back propagation neural network algorithm begins with the actual data entry stage of time and water level which is then stored in the ...
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Resilient Back Propagation Algorithm in the Prediction of Mother to Child Transmission of HIV
... Vertical transmission is the transmission of the HIV virus from mother to the child, which is the major source of pediatric infection of human immunodefi- ciency virus one (HIV-1). This is when a Human Immune deficiency ...
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Weight Optimization in Recurrent Neural Networks with Hybrid Metaheuristic Cuckoo Search Techniques for Data Classification
... recurrent neural network has been used to forecast annual peak load of Java, Madura, and Bali interconnection for ...recurrent network with respect to their forecasting accuracy over the given ...
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Detection of architectural distortion using multilayer back propagation neural network
... It is hypothesized that screening mammograms obtained prior to the detection of breast cancer could contain subtle signs of early stages of breast cancer such as architectural distortion in specific. The methods are ...
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A framework for the Recognition of Human Emotion using Soft Computing models
... In this phase we have used the Back Propagation Neural Network. The learning algorithm is performed in two stages: feed-forward and feed- backward. We have used a database of 20 images of 6 ...
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Artificial Intelligence in the Estimation of Patch Dimensions of Rectangular Microstrip Antennas
... RBF network, the spread value was chosen as ...The network was trained with 120 samples and tested with 30 ...RBF network automatically adjusts the number of processing elements in the hidden layer ...
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Palmprint Biometrics using Feed Forward Back Propagation Neural Network
... forward back propagation learning algorithm to create, train and test the neural network for palm print ...its neural network toolbox is ...
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Review Techniques of Data Privacy in Cloud Using Back Propagation Neural Network
... Abstract—Back Propagation is the scheme for neural network learning. This learning accuracy gained by collaborative learning. In existing system support this kind of learning on limited ...
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