JURNAL INTERNASIONAL

Journal of Theoritical and Apllied Information Technology

---

This paper develops neural network (NN) method using conjugate gradient (CG) with combination of particle swarm optimization (PSQ) and genetic algorithm (GA). The combinasion of PSO and GA is used for weight initiazation to improve the computational process and minimize the errors. CG method can change every learning rate of neural network, so that the addition of CG can increase the rate of convergence. PSO, by its calculation velocity, can get quckly the solutions and GA act toexpand the searching area of PSO solution. This new algolrithm is called CN-PSOGA. There are some criterions used to compare the CN-PSOGA algorithm with others, i.e. accuarcy degree, number of intreactions, and computation time produced by each algorithm. Simulation results show that the proposed algorithm can inrease the accuary of solution approach.

---

Ketersediaan

JI03220054

004.0285 JATIT J JurnalInternasional

Perpus STMIK (Jurnal Internasional)

Tersedia

Informasi Detail

Judul Seri

-

No. Panggil

004.0285 JATIT J JurnalInternasional

Penerbit

USA : JATIT., 2015

Deskripsi Fisik

-

Bahasa

English

ISBN/ISSN

1992 8645

Klasifikasi

004.0285

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

Volume 77 Nomor 1 Tahun 2015

Subjek

-

Info Detail Spesifik

-

Pernyataan Tanggungjawab

-

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus login sebelum memberikan komentar