Essays about: "Feed-Forward Artificial Neural Network"
Showing result 11 - 15 of 24 essays containing the words Feed-Forward Artificial Neural Network.
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11. PREDICTION OF WIND TURBINE BLADE FATIGUE LOADS USING FEED-FORWARD NEURAL NETWORKS
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : In recent years, machine learning applications have gained great attention in the wind power industry. Among these, artificial neural networks have been utilized to predict the fatigue loads of wind turbine components such as rotor blades. READ MORE
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12. Monitored Neural Networks for Autonomous Articulated Machines
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : Being able to safely control autonomous heavy machinery is of uttermost importance for the conversion of traditional machines to autonomous machines. With the continuous growth of autonomous vehicles around the globe, an increasing effort has been put into certifying autonomous vehicles in terms of reliability and safety. READ MORE
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13. Classification of Seismic Body Wave Phases Using Supervised Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The task of accurately distinguishing between arrivals of different types of seismic waves is a common and important task within the field of seismology. For data generated by seismic stations operated by SNSN this task generally requires manual effort. READ MORE
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14. Classification of Heart Sounds with Deep Learning
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Health care is becoming more and more digitalized and examinations of patients from a distance are closer to reality than fiction. One of these examinations would be to automatically classify a patient-recorded audiosegment of its heartbeats as healthy or pathological. READ MORE
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15. A Neural Networks Approach to Portfolio Choice
University essay from KTH/Matematisk statistikAbstract : This study investigates a neural networks approach to portfolio choice. Linear regression models are extensively used for prediction. With the return as the output variable, one can come to understand its relation to the explanatory variables the linear regression is built upon. READ MORE