A functions localized neural network with branch gates.
other · Level V
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- Record sourced from PubMed, PMID 14622877.
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Abstract
In this paper, a functions localized network with branch gates (FLN-bg) is studied, which consists of a basic network and a branch gate network. The branch gate network is used to determine which intermediate nodes of the basic network should be connected to the output node with a gate coefficient ranging from 0 to 1. This determination will adjust the outputs of the intermediate nodes of the basic network depending on the values of the inputs of the network in order to realize a functions localized network. FLN-bg is applied to function approximation problems and a two-spiral problem. The simulation results show that FLN-bg exhibits better performance than conventional neural networks with comparable complexity.
Medical subject headings
- Artificial Intelligence
- Computer Simulation
- Feedback
- Neural Networks, Computer