Penerapan Jaringan Syaraf Tiruan Deteksi Bahaya Kelebihan Mengkomsumsi Kafein dengan Menggunakan Metode Backpropagation
Abstract
Artificial Neural Network (ANN) is one of the artificial representations of the human brain that always tries to simulate the learning process of the human brain. Backpropagation training algorithm or can be translated into back propagation, first formulated by Werbos and popularized by Rumelhart and McCelland to be used in ANN, and then this algorithm is usually appointed as BP. This algorithm includes a supervised training method and design for operations on multi-layer feed forward networks. Caffeine is an alkaloid found in various types of plants, especially coffee plants, colas, tea and so forth. Caffeine functions as a stimulant for the central nervous system, aphrodisiacs and can ward off katuk and restore alertness. But the side effects, caffeine has the potential to cause mutations of chromosomes that are mutagenic
Downloads
References
Pemograman Matlab pada Sistem Pakar Fuzzy (Mohammad Yazdi Pusadan) 2015
Jong Jek Siang, 2004, Penggunaan Matriks Matlab, Yogyakarta, Penerbit Andi.
Ruth Chrestanti, 2002, Jaringan Saraf Tiruan.
Diyah Puspitaningrum. Pengantar Jaringan Saraf Tiruan Penerbit Andi
Jogiyanto H.M., 1989, Analisis dan Disain, Penerbit Andi.
Badul Anwar, 2011, Algoritma Backpropagation.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Penerapan Jaringan Syaraf Tiruan Deteksi Bahaya Kelebihan Mengkomsumsi Kafein dengan Menggunakan Metode Backpropagation
Pages: 115-122
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).






















