Neural network used for comparison
Convergence Optimization of Backpropagation Artificial Neural Network Used for Dichotomous Classification of Intrusion Detection Dataset
... Fig. 4. Comparison of the ANN trained with simulated annealing and without it. The difference between this experiment and previous one is new initial seed of pseudo-random generator. The seed was preserved the ...
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Performance Comparison of Binarized Neural Network with Convolutional Neural Network
... vastly used in autonomous driving, computer vision, natural language processing, speech recognition and many ...Convolutional Neural Networks (CNNs) are one of the most widely used ...
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Comparison and a neural network approach for iris localization
... using neural networks by comparing some of the existing localization ...is used for identification of an individual and verified with the available database to check whether the person is authorized or ...
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Comparison of different forms of the Multi layer Feed Forward Neural Network method used for river flow forecasting
... indicated that the complex conceptual models are capable of providing adequate estimates of daily flows in wet catchments whereas the simulation of daily flows for the drier catchments is generally poor. They also showed ...
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A Comparison of Neural Network Architectures in Reinforcement Learning in the Game of Othello
... Input comparison Cranney reports huge discrepancies between networks playing black and those playing white, as those playing black were considerably better (Cranney ...input used only the first 128 inputs, ...
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Comparison of Neural Network Training Algorithms for Classification of Heart Diseases
... Indeed, the predictive and diagnosis of heart diseases in the early stage should be done to reduce the risk of heart disease and is vital for the prevention of patient’s deaths [1, 13, 14]. In order to diagnose heart ...
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FORECASTING NETWORK TRAFFIC: A COMPARISON OF NEURAL NETWORKS AND LINEAR MODELS
... being used by the network to solve a problem. Neural networks are suitable for solving various tasks including time series ...a neural network in implicit or explicit way ...the ...
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Comparison Of Power Quality Disturbances Classification Based On Neural Network
... be used for decomposing and denoising the ...of neural network such as probabilistic neural network, multilayer feed forward , radial basic function and so ...
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Comparison of Different Convolutional Neural Network Structures Based on Keras
... Lei Maa, Yu Liu, Xueliang Zhanga, Yuanxin Ye, Gaofei Yin and Brian Alan Johnson have explained that deep learning algorithms have seen a massive rise in popularity for remote sensing image analysis over the past few ...
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Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases
... are used to classify tomato diseases, in order to develop a comparison between these CNN architectures performance, supporting in the selection of an automatic system that allows the extension of its the ...
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Comparison of Neural Network Parameters for Classification of Arabic Handwritten Isolated Characters
... system, neural networks is actually one of the most effective tools for the classification of Arabic manuscript ...of neural networks used in the classification of Arabic manuscript ...
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A comparison of artificial neural network and decision tree for profitability in technology sector
... artificial neural network and decision tree methods. We have used financial data for two ...artificial neural network. As a result of this study, artificial neural network's ...
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Comparison of time series forecasting with artificial neural network and statistical approach
... The X-12-ARIMA method is an alternative to con- structing ARMA models using native code. It is ac- tively developed by U.S. Census Bureau 4 and is be- ing used for seasonal adjustment of time series. The Gretl so ...
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A Neural Network Versus Black Scholes: A Comparison of Pricing and Hedging Performances
... be used as a measure of accu- ...be used, but it is the absolute value of the tracking errors that is of importance; if a theoretical option is instead sold, all signs are ...
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A comparison of artificial neural network and multinomial logit models in predicting mergers
... We apply the sampling criteria used to construct the merging-firms sam- ple to compile the sample of nonmerging firms. We compile a sample of US, nonfinancial firms using the CRSP-COMPUSTAT merged database. The ...
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Comparison of Different Neural Network Training Algorithms with Application to Face Recognition
... introduced neural networks which are used for nonlinear ...of neural networks, with more training and more complex neuron structure, its performance does not deteriorate so ...is used to ...
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Predicting performance measures using linear regression and neural network: A comparison
... artificial neural network, Back Propagation Artificial Neural Network (BP-ANN), as an alternative predictive tool to multi-linear regression, for establishing the interrelationships among ...
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Signal processing and neural network techniques used in Cochlear Implant for different types of noises
... (BWT) Comparison of WT and BWT based upon three criteria namely recognition rate, tolerance of noise and ...In neural network each had a different ...
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Comparison of daily rainfall forecasting using multilayer perceptron neural network model
... MLP network models were developed using daily rainfall ...nodes used in this modelling are from 2 to 10 which is based on previous researcher’s paper and also through trial and ...node used for ...
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Comparison of three updating schemes using artificial neural network in flow forecasting
... artificial neural network (ANN) in flow forecasting are compared in terms of model ...is used to forecast the flow simulation errors of the ANN ...
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