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Integrating activities with neurofuzzy distributed systems

  • Hybrid and Novel Architectures
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Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems (FLAI 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1188))

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Abstract

The neurofuzzy system presented here has being used to develop different kinds of applications on both control and supervision tasks in the oil industry ([1], [7]). One of these applications is now in use to control ans supervise oil pumping in a oil field in Brazil. Another one is now being implemented to control process plant and it is expected to be operating by the end of the year.

The experimental and practical results obtained so far support the conclusion that neurofuzzy technology is an adequate tool to build artificial intelligent systems.

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References

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Trevor P. Martin Anca L. Ralescu

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Ā© 1997 Springer-Verlag Berlin Heidelberg

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SerapiĆ£o, A.B.S., Rocha, A.F. (1997). Integrating activities with neurofuzzy distributed systems. In: Martin, T.P., Ralescu, A.L. (eds) Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems. FLAI 1995. Lecture Notes in Computer Science, vol 1188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62474-0_2

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  • DOI: https://doi.org/10.1007/3-540-62474-0_2

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  • Print ISBN: 978-3-540-62474-5

  • Online ISBN: 978-3-540-49732-5

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