PENENTUAN SATUAN KERJA BAGI BINTARA POLISI BARU PADA SEKOLAH POLISI NEGARA MENGGUNAKAN FULLY RECURRENT NEURAL NETWORK (STUDI KASUS : SPN KUPANG)

• المؤلفون الرئيسيون: , KORNELIS LETELAY, , Drs. Retantyo Wardoyo, M.Sc., Ph.D.
• التنسيق: Theses and Dissertations NonPeerReviewed
• منشور في: [Yogyakarta] : Universitas Gadjah Mada 2014
• الموضوعات: ETD
• الوصول للمادة أونلاين: https://repository.ugm.ac.id/129838/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=70241
• المؤسسة: Universitas Gadjah Mada

Artificial Neural Networks (ANN) can be used to solve specific problems such as prediction, classification, processing data, and robotics. Based on the exposure, this study tried to develop a system by applying ANN models Fully Recurrent Neural Network (FRNN) to deal with the problems of classificat...