Hierarchical Neural Networks

Hierarchical neural networks consist of multiple neural networks concreted in a form of an acyclic graph. Tree-structured neural architectures are a special type of hierarchical neural network. The networks within the graph can be single neurons or complexer neural architectures such as multilayer perceptrons or radial basis function networks. Decision trees, hierarchical self-organizing maps, hierarchies of experts, hierarchical or tree-based classifiers are typical applications for hierarchical neural networks.

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Friedhelm Schwenker