Browsing by Subject "MLP"

Now showing items 1-3 of 3

    • Activation gap generators in neural networks 

      Davel, Marelie H. (In Proc. South African Forum for Artificial Intelligence Research (FAIR2019), 2019-12)
      No framework exists that can explain and predict the generalisation ability of DNNs in general circumstances. In fact, this question has not been addressed for some of the least complicated of neural network architectures: ...

    • Classifying spam with generalized additive neural networks 

      Labuschagne, Pieter (North-West University (South Africa) , Potchefstroom Campus, 2017)
      E-mail is an important and convenient communication tool used by many people on a daily basis. For individuals it is an inexpensive way to stay in contact with family and friends located around the world. An e-mail address ...

    • Comparing generalized additive neural networks with multilayer perceptrons 

      Goosen, Johannes Christiaan (North-West University, 2011)
      In this dissertation, generalized additive neural networks (GANNs) and multilayer perceptrons (MLPs) are studied and compared as prediction techniques. MLPs are the most widely used type of artificial neural network (ANN), ...