Dimensionality Reduction Using Neural Networks ... a multi-layer deep neural network and a weight initialization ... backpropagation, we force the neural network to learn the lower dimensional ... neural ...

An Introduction to Neural Networks The function of the entire neural network is simply ... The weights in a neural network are the most. important factor in determining its function ...

ELeaRNT: Evolutionary Learning of Rich Neural Network Topologies strategy which evolves rich neural network topologies in order to ... rithm can build, in a completely automated way, neural network ...

Constructive neural-network learning algorithms for pattern ... Constructive Neural-Network Learning Algorithms. for Pattern Classification ... Neural-network learning can be specified as a function ap ...

New Tools for Building Predictive Models is categorical, then the neural network is used to classify cases ... The results of exploring data with neural network techniques can be ...

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