Neural Networks And Fuzzy Control for Bulk Terminal Operating Management

From Summer Computer Simulation Summer, Ottawa, July 24-26, 1995

ABSTRACT

Port bulk terminal management operations are particularly sensitive to variations in market conditions. In this paper, the authors propose an integrated AI system to be combined with a plant simulator to support operative definition activities. In this case, the integration of different techniques produces satisfactory results while also limiting development time.

INTRODUCTION
THE SYSTEM ANALYZED
THE SELECTED NETWORK ARCHITECTURE
INTEGRATION WITH FUZZY SETS
THE LEARNING SETS USED
THE INTEGRATED DSS
THE COMPARISON BETWEEN SIMULATION AND PREDICTIONS
CONCLUSIONS

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REFERENCES

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