Back-Propagation Neural Network (BPNN)
Text Recognition from PDF Files using BPNN and SVM
... 5: Back Propagation Neural Network Model Back propagation neural network [12][13] is chosen for the classification purpose because it is simple to work and ...of ...
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Hole Cleaning Prediction in Foam Drilling Using Artificial Neural Network and Multiple Linear Regression
... Artificial neural networks (ANNs) are sim- ple and more reliable predictive tools inspired by studies on the human nerve and brain system that can be used to model and investigate various highly complex and ...
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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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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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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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Classification of Motor Imagery Based EEG Signals
... Abstract: Brain Computer Interface (BCI) enable the user to interact with system only through brain activity, usually measured by Electroencephalography (EEG). BCI systems additionally offers analysis of Motor Imagery ...
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Prediction of SLA Violation in Cloud Resource Allocation using Machine Learning based Back Propagation Neural Network (BPNN)
... Cloud Service Provider to foresee the event of the infringement of administrations dependent on response time and throughput. At the point when there is a propensity for the exchanges to go past as far as possible, ...
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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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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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Noise Induced Hearing Loss (NIHL) prediction in humans using a modified back propagation neural network
... Artificial Neural Network (ANN) provides very effective way to predict hearing loss in ...as network topology, initial weights and biases, learning rate value, the activation function, value for gain ...
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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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Face Detection and Recognition using Back Propagation Neural Network (BPNN)
... Feed-Forward network consists of a series of ...feed-forward network include fitting (fitnet) and pattern recognition (patternnet) ...backpropagation network is simply the application of ...
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Implementation of Neural Network Back Propagation Training Algorithm on FPGA
... If the image to be compressed is very large, this may sometimes cause difficulty in training, as the input to the network becomes very large. Therefore in the case of large images, they may be broken down into ...
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Exudates Detection with DBSCAN clustering and Back Propagation Neural Network
... 2, BPNN with 10 nodes in the hidden layer gives the minimum ...the network we have chosen the following parameters: Training function-sigmoid, ...the neural network architecture expands, ...
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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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An Approach to Handwriting Recognition using Back Propagation Neural Network
... the Back-Propagation Network, characters drawn with the help of a stylus can thus be ...shown back-propagation approach are acceptable for recognizing ...the neural ...
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Bat BP: a new bat based back propagation algorithm for efficient data classification
... the network stagnancy and to speed up the network ...colony back-propagation (ABC- BP) algorithm [11-12], genetic algorithm (GA) [13], hybrid PSO-BP [14], and evolutionary artificial ...
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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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Artificial Intelligence in the Estimation of Patch Dimensions of Rectangular Microstrip Antennas
... Artificial Neural Network (ANNs) techniques are recently indicating a lot of promises in the application of various micro-engineering ...the neural network has been com- pared with the ...
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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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