مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

ARTIFICIAL NEURAL NETWORK MODEL WITH THE PARAMETER TUNING ASSISTED BY A DIFFERENTIAL EVOLUTION TECHNIQUE: THE STUDY OF THE HOLD UP OF THE SLURRY FLOW IN A PIPELINE

Pages

  103-103

Keywords

Not Registered.

Abstract

Cites

References

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  • Cite

    APA: Copy

    LAHIRI, S.K., & GHANTA, K.C.. (2009). ARTIFICIAL NEURAL NETWORK MODEL WITH THE PARAMETER TUNING ASSISTED BY A DIFFERENTIAL EVOLUTION TECHNIQUE: THE STUDY OF THE HOLD UP OF THE SLURRY FLOW IN A PIPELINE. CHEMICAL INDUSTRY AND CHEMICAL ENGINEERING QUARTERLY, 15(2), 103-103. SID. https://sid.ir/paper/627577/en

    Vancouver: Copy

    LAHIRI S.K., GHANTA K.C.. ARTIFICIAL NEURAL NETWORK MODEL WITH THE PARAMETER TUNING ASSISTED BY A DIFFERENTIAL EVOLUTION TECHNIQUE: THE STUDY OF THE HOLD UP OF THE SLURRY FLOW IN A PIPELINE. CHEMICAL INDUSTRY AND CHEMICAL ENGINEERING QUARTERLY[Internet]. 2009;15(2):103-103. Available from: https://sid.ir/paper/627577/en

    IEEE: Copy

    S.K. LAHIRI, and K.C. GHANTA, “ARTIFICIAL NEURAL NETWORK MODEL WITH THE PARAMETER TUNING ASSISTED BY A DIFFERENTIAL EVOLUTION TECHNIQUE: THE STUDY OF THE HOLD UP OF THE SLURRY FLOW IN A PIPELINE,” CHEMICAL INDUSTRY AND CHEMICAL ENGINEERING QUARTERLY, vol. 15, no. 2, pp. 103–103, 2009, [Online]. Available: https://sid.ir/paper/627577/en

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