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The term neural network was traditionally used to refer to a network or circuit of biological neurons. Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons). Neural Network assembly is a learning paradigm where a collection of finite number of neural networks is trained for the same task. It is understood that the generalization ability of neural networks, i.e., training many neural networks and then combining their predictions. ANN assembly techniques have become very popular amongst neural network practitioners in a variety of ANN application domains.
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