Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter

S. N. Naikwad, S. V. Dudul

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DOI: 10.1155/2009/385757
Published: 2009
Container: Applied Computational Intelligence and Soft Computing
Publisher: Hindawi Limited
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2009/385757,
  title = {Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter},
  author = {S. N. Naikwad and S. V. Dudul},
  year = {2009},
  journal = {Applied Computational Intelligence and Soft Computing},
  doi = {10.1155/2009/385757},
  url = {https://doi.org/10.1155/2009/385757}
}

RIS

TY  - JOUR
TI  - Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter
AU  - S. N. Naikwad
AU  - S. V. Dudul
PY  - 2009
JO  - Applied Computational Intelligence and Soft Computing
DO  - 10.1155/2009/385757
UR  - https://doi.org/10.1155/2009/385757
ER  -

APA

Naikwad, S. N., & Dudul, S. V. (2009). Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter. Applied Computational Intelligence and Soft Computing. https://doi.org/10.1155/2009/385757

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crossref · retrieved 2026-11-03T11:57:46.706Z