Penerapan Sistem Neuro-Fuzzy Dengan Struktur ANFIS Untuk Prediksi Curah Hujan Daerah Banyuwangi  

Oleh:

Rahmat, Basuki

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI
Dalam koleksi: Gematek: Jurnal Teknik Komputer vol. 6 no. 2 (Sep. 2004), page 63-72.
Topik: curah hujan; adaptive neuro fuzzy inference system; error back propagation; least square estimator prediction

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: GG6.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

The drawback of fuzzy system is the process of determining membership function where rules are determined based on membership function which have been designed. The problem of this research is how to develop an application software that is able to predict rainfall by using neuro - fuzzy system. The objective is to develop a software that can give information on rainfall prediction by using neuro - fuzzy system with ANFIS structure. The learning process consists of two stages, forward stage using fuzzy inference mechanism and LSE method and backward stage by using back error propagation. The result shows that it can be used to predict rainfall with learning process error of 29.5890 % and prediction error of 42.7397 %.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali