Browsing by Subject "Recurrent Neural Network"

Now showing items 1-5 of 5

    • Backpropagation for Continuous Theta Neuron Networks 
      Fan, David Dawei (2015-04-17)
      The Theta neuron model is a spiking neuron model which, unlike traditional Leaky-Integrate-and-Fire neurons, can model spike latencies, threshold adaptation, bistability of resting and tonic firing states, and more. Previous ...
    • Data-Driven Reservoir Modeling using Recurrent Neural Network and Physics-Based Network Model 
      Nagao, Masahiro (2021-07-08)
      We present efficient data-driven reservoir model workflows for a mature oil field involving large-scale CO2 Water Alternating Gas (WAG) injection. The CO2 WAG injection is conducted in more than two hundred wells in the ...
    • Dynamic Analysis of Recurrent Neural Networks 
      Wang, Han (2020-01-16)
      With the advancement in deep learning research, neural networks have become one of the most powerful tools for artificial intelligence tasks. More specifically, recurrent neural networks (RNNs) have achieved state-of-the-art ...
    • Intelligent Design in Wireless System 
      Zhang, Yanyan (2017-11-15)
      We are living in an era full of data services, and the advancement in statistical learning encourages the development of intelligent system design algorithms based on practical data. In our work, we plan to study two ...
    • Photonic Hardware Accelerators for Reservoir Computing 
      Hasnain, Syed Ali (2020-11-25)
      Machine Learning (ML) approaches like Deep Neural Networks (DNNs) have emerged as a powerful tool for big data classification and prediction problems. While feed-forward neural networks are good for non-temporal tasks, a ...