Now showing items 1-3 of 3

    • Improved initialization for the multi layer perceptron 

      Mainkar, Abhishek Vinay; 0000-0001-7566-5902 (2018-05-08)
      A Multilayer Perceptron (MLP) neural network is used for solving nonlinear functional problems like function approximation, classification, data processing etc. MLP neural networks are usually trained using back propagation, ...
    • MULTILAYER PERCEPTRON WITH ADAPTIVE ACTIVATION FUNCTIONS 

      Rane, Chinmay Appa; 0000-0002-1373-819X (2016-05-26)
      A Multilayer perceptron typically has a fixed nonlinear activation function for each hidden unit. In this thesis, an adaptive activation function for individual hidden unit is designed, where the network learns these ...
    • SECOND ORDER ALGORITHM FOR SPARSELY CONNECTED NEURAL NETWORKS 

      Kheirkhah, Parastoo (2016-08-17)
      A systematic two-step batch approach for constructing a sparse neural network is presented. Unlike other sparse neural networks, the proposed paradigm uses orthogonal least squares (OLS) to train the network. OLS based ...