Hybrid learning-based neuro-fuzzy inference system: a new approach for system modeling
International Journal of Systems Science
CMAC-based neuro-fuzzy approach for complex system modeling
Neurocomputing
Recent Literature Collected by Didier DUBOIS, Henri PRADE and Salvatore SESSA
Fuzzy Sets and Systems
Neural fuzzy forecasting of the china yuan to US dollar exchange rate: a swarm intelligence approach
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
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The novel concept of pseudoerrors for a self-organizing neuro-fuzzy system (SO-NFS) is proposed for tracking control problem. To demonstrate the proposed approach, an example of motion control of an auto-warehousing crane system is illustrated, which can move back and forth in x,y, and z directions to access and store cargoes. The proposed SO-NFS shows excellent performance in control of the crane system for different loading conditions and varying distances in all directions.