Imam Arifin
Calculated based on number of publications stored in Pure and citations from PlumX
20092017

Research activity per year

Search results

  • 2017

    Implementation of state-feedback controller on quadruple tank modified I system

    Sutikno, J. P., Handogo, R., Arifin, I., Rahayu, S. P., Putra, V. D., Fauzan, N. & Hisyam, A., 2017, Chemical Engineering Transactions. Klemes, J. J., Liew, P. Y., Ho, W. S. & Lim, J. S. (eds.). Italian Association of Chemical Engineering - AIDIC, Vol. 56. p. 853-858 6 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    1 Citation (Scopus)
  • Process control on modified III Quadruple Tank using LabVIEW aplication

    Azizah, Z., Arlita, A. D., Rahayu, S. P., Arifin, I., Hisyam, A., Renanto & Juwari, 24 May 2017, International Seminar on Fundamental and Application of Chemical Engineering 2016, ISFAChE 2016: Proceedings of the 3rd International Seminar on Fundamental and Application of Chemical Engineering 2016. Widiyastuti, Taufany, F. & Nurkhamidah, S. (eds.). American Institute of Physics Inc., 070006. (AIP Conference Proceedings; vol. 1840).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2014

    A novel meta-cognitive-based scaffolding classifier to sequential non-stationary classification problems

    Pratama, M., Er, M. J., Anavatti, S. G., Lughofer, E., Wang, N. & Arifin, I., 4 Sept 2014, Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE. Institute of Electrical and Electronics Engineers Inc., p. 369-376 8 p. 6891560. (IEEE International Conference on Fuzzy Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    30 Citations (Scopus)
  • 2013

    Data driven modeling based on dynamic parsimonious fuzzy neural network

    Pratama, M., Er, M. J., Li, X., Oentaryo, R. J., Lughofer, E. & Arifin, I., 13 Jun 2013, In: Neurocomputing. 110, p. 18-28 11 p.

    Research output: Contribution to journalArticlepeer-review

    69 Citations (Scopus)
  • 2011

    Genetic Dynamic Fuzzy Neural Network (GDFNN) for nonlinear system identification

    Pratama, M., Er, M. J., Li, X., San, L., Richard, J. O., Zhai, L. Y., Torabi, A. & Arifin, I., 2011, Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011. PART 2 ed. p. 525-534 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6676 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)
  • Tool wear prediction using evolutionary Dynamic Fuzzy Neural (EDFNN) Network

    Pratama, M., Er, M. J., Li, X., Gan, O. P., Oentaryo, R. J., Linn, S., Zhai, L. & Arifin, I., 2011, Proceedings: IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society. p. 4739-4744 6 p. 6119997. (IECON Proceedings (Industrial Electronics Conference)).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Citations (Scopus)
  • 2009

    Positive real synthesis of networked control system: An LMI approach

    Bambang, R. & Arifin, I., 2009, Intelligent Unmanned Systems: Theory and Applications. Budiyono, A., Riyanto, B. & Joelianto, E. (eds.). p. 213-225 13 p. (Studies in Computational Intelligence; vol. 192).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Open Access
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