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Computer and Computational Intelligence Seminar

In Part 1 of a 2 session seminar series, Dr. Ivo Bukovsky will introduce a novel adaptive methodology for real-time monitoring and evaluation of high-dimensional dynamic systems with low-dimensional neural architectures. In this work, a neural network learns the characteristics of a signal and identifies deviations from the expected signal by monitoring the changes in the neural network parameters over time.

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Posted on

Computer and Computational Intelligence Seminar

In Part 1 of a 2 session seminar series, Dr. Ivo Bukovsky will introduce a novel adaptive methodology for real-time monitoring and evaluation of high-dimensional dynamic systems with low-dimensional neural architectures. In this work, a neural network learns the characteristics of a signal and identifies deviations from the expected signal by monitoring the changes in the neural network parameters over time.

Read More