@inproceedings{scholars3774,
           pages = {295--300},
         journal = {Proceeding - 2013 IEEE Student Conference on Research and Development, SCOReD 2013},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
           title = {Nonlinear plant modeling using neuro-fuzzy system with tree physiology optimization},
            year = {2013},
             doi = {10.1109/SCOReD.2013.7002593},
            note = {cited By 9; Conference of 2013 11th IEEE Student Conference on Research and Development, SCOReD 2013 ; Conference Date: 16 December 2013 Through 17 December 2013; Conference Code:109913},
            isbn = {9781479926565},
          author = {Halim, A. H. and Ismail, I.},
        abstract = {This paper introduces a theoretical new approach for training the adaptive-network-based fuzzy inference system (ANFIS) using Tree Physiology Optimization (TPO). The TPO is a heuristic method based on tree physiology. The method will be applied to nonlinear dynamic system. {\^A}{\copyright} 2013 IEEE.},
        keywords = {Forestry; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Heuristic methods; Neural networks; Nonlinear dynamical systems; Optimization; Physiology, Adaptive network based fuzzy inference system; ANFIS; Fuzzy; Neurofuzzy system; New approaches; Nonlinear plant, Fuzzy inference, Models; Neural Networks; Optimization; Physiology; Plants; Trees},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921785469&doi=10.1109\%2fSCOReD.2013.7002593&partnerID=40&md5=864d0bed4bd8a37b349cd65aad74058d}
}