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Soft Control (AT 3, RMA) 8. Lecture Neural Networks Learning Process Contents of the 8 th lecture 1. Introduction of Soft Control: Definition and Limitations, Basics of Intelligent" Systems 2. Speech Enhancement with Deep Neural Networks Olav Klungsøyr Melve Master of Science in Electronics Submission date: June 2016 Supervisor: Magne Hallstein Johnsen, IET Co-supervisor: Øystein Birkenes, Cisco

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Then, a back-propagation (BP) neural network is constructed to train agents that represent individual drivers. Both methods use the same naturalistic data set.

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E. Feedforward neural network with Gradient descent optimization “While successes have been achieved in modeling biological neural systems, there are still 

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