ANN

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AcronymDefinition
ANNAnnual
ANNAnime News Network (Anime web site)
ANNArtificial Neural Network
ANNAnnals
ANNAnnealed
ANNAsia News Network
ANNAlternative News Network (various organizations)
ANNAnnunciator
ANNAlaska News Nightly (podcast)
ANNAnswer Signal No Charge
ANNAnime News Network
ANNAnnouncement Date
ANNArab News Network
ANNAlternativa Nueva Nación (Spanish: New Alternative Nation; political party; Guatemala)
ANNAssign NNX Routing (US DoD)
ANNAlianza Nueva Nación (Spanish: New Nation Alliance, Guatemala)
ANNAngry Nintendo Nerd
ANNAmerica's Note Network (Westminster, CO)
ANNArmenian News Network
ANNAnswer Signal, No Charge
ANNAnswer No-Charge (ITU-T)
ANNAuditing Network Needs
ANNAluminum Nitrate Nonhydrate
ANNAutomated Neural Net
ANNAzer.Net News Network
References in periodicals archive ?
The aim of this article is improving the performance of the AL-Dura power plant by using artificial neural network (ANN) through controlling many parameters such as pressure, temperature, speed, and humidity.
Enhancement of Performance for Steam Turbine in Thermal Power Plants Using Artificial Neural Network and Electric Circuit Design
Saridemir, "Prediction of properties of waste AAC aggregate concrete using artificial neural network," Computational Materials Science, vol.
Prediction of the Strength Properties of Carbon Fiber-Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine
We performed the validation based on the identical actual financial transaction data for machine learning method and artificial neural network. In conclusion, the well-known machine learning method has a higher fraud detection rate than the artificial neural network.
An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation
Deep learning enables higher levels of recognition accuracy by capitalizing on the deeply layered structures of artificial neural networks in order to learn from prepared data.
NEC Develops Deep Learning Technology to Improve Recognition Accuracy
These statistical classification methods can be used with the data obtained from electromyography (EMG) scanning in the diagnosis of CTS.1 The classification methods evaluated in the study included classification tree (CT), support vector machine (SVM), artificial neural network (ANN), and naive Bayes (NB).
Evaluation of several classification methods in carpal tunnel syndrome
Keywords: Artificial neural network; Business Research; Financial Management; Quantitative method; Working capital management.
THE ARTIFICIAL NEURAL NETWORK METHOD: A PRACTICAL GUIDE FOR BUSINESS RESEARCH
Shashi Kiran et al [8] proposed a new method of detection and classification of brain tumor using artificial neural network from EEG images.
A detailed survey on brain tumor detection and classification systems based on features and classifiers
Keywords: Image processing, edge detection, rubber seed, decision rule, Artificial Neural Network, Support Vector Machine
IDENTIFICATION OF DORSAL AND VENTRAL SURFACE OF RUBBER SEED USING IMAGE PROCESSING AND MACHINE LEARNING APPROACH
In current assay, an artificial neural network modeling has been applied to determine the best coagulant rate in the water treatment plant according to a back-propagation training method.
Intelligent system for improving dosage control/Inteligencia artificial aplicada ao controle da dosagem de coagulante em plantas de tratamento de agua
Prediction of engine performance and exhaust emissions for gasoline and methanol using artificial neural network, Energy 50: 177-186.
Prediction of and experimental study on cutting force of austempered vermicular graphite cast iron using artificial neural network
Mohandes, "Artificial neural network estimation of global solar radiation using air temperature and relative humidity," Energy Policy, vol.
Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks
Huh, "Prediction of spontaneous ventricular tachyarrhythmia by an artificial neural network using parameters gleaned from short-term heart rate variability," Expert Systems with Applications, vol.
Follow-Up and Risk Assessment in Patients with Myocardial Infarction Using Artificial Neural Networks
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