Multi-agent architecture for Multi-objective optimization of Flexible Neural Tree

    Neurocomputing, Volume 214, Issue C, 2016, Pages 307-316.

    Cited by: 4|Bibtex|1|
    EI

    Abstract:

    In this paper, a multi-agent system is introduced to parallelize the Flexible Beta Basis Function Neural Network (FBBFNT)' training as a response to the time cost challenge. Different agents are formed; a Structure Agent is designed for the FBBFNT structure optimization and a variable set of Parameter Agents is used for the FBBFNT paramet...More
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