MS-BACO: A new Model Selection algorithm using Binary Ant Colony Optimization for neural complexity and error reduction

21 Oct 2018Saman SadeghyanShahrokh Asadi

Stabilizing the complexity of Feedforward Neural Networks (FNNs) for the given approximation task can be managed by defining an appropriate model magnitude which is also greatly correlated with the generalization quality and computational efficiency. However, deciding on the right level of model complexity can be highly challenging in FNN applications... (read more)

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