The applied neural network
Network Attacks Detection by Hierarchical Neural Network
... the network traffic data as normal behavior or ...are applied to another classifier to classify the ...we applied Neural Network with Supervised and Unsupervised Learning in order to ...
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Applied Research of Fuzzy Neural Network Algorithm in Teaching Evaluation
... the neural net- works, this paper with a plenty of fuzzy information proposes a fuzzy neural network model, and organically combines self-adaption, recognition with fuzzy information processing, and ...
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Statistical Learning with Artificial Neural Network Applied to Health and Environmental Data
... best neural network ...for neural network model selection, they suggested that these statistical methods should take part during the process of developing neural network ...best ...
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A Novel Adaptive Neural Network Compensator as Applied to Position Control of a Pneumatic System
... of neural networks is that they do not require a ...on-line neural network compensator (ANNC) for the position control of a pneumatic gantry ...
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A modular neural network scheme applied to fault diagnosis in electric power systems
... a neural module for each type of component comprising the electric power system, whether it is a transmission line, bus or ...The neural modules for buses and transformers comprise two diagnostic levels ...
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BP neural network based sports performance prediction model applied research
... use neural network algorithms’ relative strong self fault-tolerant ability and self-training learning ability as well as other good advantages to construct BP neural network model, carry out ...
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Neural network based athletics performance prediction optimization model applied research
... BP neural network model, RBF neural network model and Elman neural network model, after comparing, it gets that BP neural network of the three has higher accuracy, ...
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Simplified spiking neural network architecture and STDP learning algorithm applied to image classification
... The network preserves its learning and classification prop- erties while computational and memory complexity is reduced dramatically - by eliminating the PSP table in each ...trained network can recognize ...
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Artificial Neural Network, Decision Tree and Statistical Techniques Applied for Designing and Developing Classifier
... Index Terms:C5.0, Support Vector Machine (SVM), Artificial Neural Network (ANN), Ensemble model. I. INTRODUCTION Today business and academic needs has increased E- mail users and still it is increasing ...
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Neural Network
... a network with a high number of hidden layer ...the network. Applied to economic data, reduction is possible while preserving similarity between given time series and orbits gen- erated by the ...
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Neural Network
... is applied to the system and is simultaneously correlated optically with all of the stored reference ...is applied to a beam splitter, which passes it to the threshold device, the function of which is ...
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A New Quantum Radial Wavelet Neural Network Model Applied to Analysis and Classification of EEG Signals
... 9. CONCLUSION In this paper a QRWNN model with Gaussian wavelet as an incentive function is proposed for classification of EEG signals. Because EEG signals possess a combination of slow variations over long periods, with ...
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Intelligent Neural Network For Bacteria Classification: An Innovation In Artificial Neural Network
... artificial neural network in object ...were applied in trained ...features applied to trained ...this neural network perform a key role by generating only one decision; whether ...
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Neural Network Add-in
... test applied to the variable with the highest PMI value, relative to the distribution of PMI values for all ...are applied to determine the relevance of a candidate input ...be applied consistently ...
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Neural Network- A Study
... several neural network ...HNC neural systems were also applied to mortgage screening. A neural network automated mortgage insurance underwritting system was developed by the ...
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Neural Network Toolbox
... are shown. The latter contains information about the individual objects of the network. Each layer consists of neurons with the same transfer function net.transferFcn and net input function net.netInputFcn, which ...
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Deep Convolutional Neural Network applied on copper surface coatings based on polyvinyl alcohol and silver nanoparticles
... the same split is maintained for each sub-problem. All images are resized to 150x150 pixels within the current experiment, due to computer memory limitations triggered by the use of CNN. Since the data set has a reduced ...
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Local-scale valley wind retrieval using an artificial neural network applied to routine weather observations
... Another nowcasting tool frequently used in atmospheric studies is the Artificial Neural Network (ANN). Gardner and Dorling ( 1998 ) give an overview of the scope of their utilization in atmospheric studies. ...
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A neural network radiative transfer model approach applied to the Tropospheric Monitoring Instrument aerosol height algorithm
... a neural network – there is no specific method to accurately de- termine the required sample size before ...better neural network ...ral network model, 500 000 spectra were ...optimal ...
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Implementation of Artificial Neural Network applied for the solution of inverse kinematics of 2-link serial chain manipulator.
... artificial neural network applied for the solution of inverse kinematics of 2-link serial chain ...perceptrons neural network has ...resulting Neural net can be used as a ...
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