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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 ...
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 ...
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, ...