Detail A framework of training ANFIS using Chicken Swarm Optimization for solving classification problems (presented at 2016 International Conference on Informatics and Computing (ICIC), Mataram, 28-29 Oct. 2016) Bibliografi Author: Roslina ; Zarlis, Muhammad ; Yanto, Iwan Tri Riyadi ; Hartama, Dedy Topik: Classification; ANFIS; Chicken Swarm Optimization Bahasa: (EN )     Penerbit: IEEE Publications     Tempat Terbit: Mataram    Tahun Terbit: 2016     Jenis: Papers/Makalah - pada seminar internasional Fulltext: 07905759.pdf (743.64KB; 0 download) [Informasi yang berkaitan dengan koleksi ini di internet] Abstract The result of training parameters described Adaptive Neuro-Fuzzy Inference System (ANFIS) performance. The speed and reliability of training effect depend on the training mechanism. There have been many methods used to train the parameters of ANFIS as using GD, metaheuristic techniques, and LSE. But there are still many methods developed to achieve efficiently. One of the proposed algorithm to improve the performance of ANFIS is Chicken swarm optimization (CSO) algorithm. The experimental results of training ANFIS network for classification problems show that ANFIS-CSO algorithm achieved better accuracy. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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