Perpustakaan Fakultas Ilmu Komputer

Call Number	SEM-347
Collection Type	Indeks Artikel prosiding/Sem
Title	A novel incremental learning regularized least squares support vector fuzzy regression, 601-605
Author	Yuan Jian, Chen yongqi;
Publisher	Proceedings 2011 4th IEEE International Conference on computer science and information technology Juni 10-12, 2011 Chengdu, China (ICCSIT 2011)
Subject
Location

Lokasi : Perpustakaan Fakultas Ilmu Komputer

Nomor Panggil	ID Koleksi	Status
SEM-347		TERSEDIA

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For estimating imprecise system, a incremental learning regularized least squares support vector fuzzy regression model is proposed. this model is applying the fuzzy sets principle and incremental learning method. as against the solutions of a complicated quadratic progamming problem in previous support vector fuzzy regression model, the proposed model reduces memory and calculates time because of utilizing the historical training results and equality contrainsts. numerical examples are given to demonstrate the effectiveness of the proposed model.