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The purpose of this research is to compare the performance of two text classifiers; support vector machine (SVM) and back-propagation neural network (BPNN) within categorize
This study introduces five methods of character recognition namely template matching (TM), back-propagation neural network (BPNN), Particle Swarm Optimization
In this paper, Back propagation (BP) and Multi Layer Perceptron (MLP) of the Artificial Neural Network were used to classify carp ( Cyprinus carpio ), tilapia ( Oreochromis niloticus
In this paper a robust and reliable optical recognition system for Off-line Arabic handwritten isolated characters, based on back propagation artificial neural network is proposed,
Conclusion From the results of rainfall forecasting using Back-propagation Artificial Neural Network, it can be obtained that the accuracy level of rainfall prediction is 80%, by
DESIGN OF RESEARCH 4.1 Materials and Tools Materials and tools used to conduct research on the implementation of artificial neural network back propagation network algorithm for the
CNN, CpNN Competitive probabilistic neural network - Бәсекеге қабілетті ықтимал нейрондық желі, BpNN Back Propagation Neural Network - Кері таралу нейрондық желісі Chest
Fig.2.Mathematical model of an artificial neuron FEED FORWARD BACK PROPAGATION FFBP NEURAL NETWORK Feed forward back propagation neural network consists of input layer, hidden layer