Browsing MS Theses - DO NOT EDIT by Subject "Neural networks"
Now showing items 1-3 of 3
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Improved initialization for the multi layer perceptron
(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
(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
(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 ...