1 / 6

Pengenalan Jaringan Syaraf Tiruan

Pengenalan Jaringan Syaraf Tiruan. Pengertian Jaringan Syaraf Tiruan. Jaringan Syaraf Tiruan (JST) atau Neural Network adalah metode komputasi yang meniru system jaringan saraf biologis . Metode ini menggunakan elemen perhitungan non-linier dasar yang disebut neuron.

idalia
Download Presentation

Pengenalan Jaringan Syaraf Tiruan

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. PengenalanJaringanSyarafTiruan

  2. PengertianJaringanSyarafTiruan • JaringanSyarafTiruan (JST) atau Neural Network adalahmetodekomputasi yang meniru system jaringansarafbiologis. • Metodeinimenggunakanelemenperhitungan non-linier dasar yang disebutneuron. • Dapatbelajardaridari data-data sebelumnya • Dapatmengenalpola data yang selaluberubah. • Kesimpulan yang ditarikolehjaringandidasarkanpadapengalamanselamamengikutiprosespembelajaran/pelatihan.

  3. JaringanSarafmanusia

  4. X1 W1 F(y_in) • XW+b y_in W2 X2 b 1 1 selJaringansyaraftiruan y

  5. X1 W1 F(y_in) • XW+b y_in W2 X2 b 1 Contoh Neuron Y Y_in = XW+b =X1W1+ X2W2+b Y=F(Y_in)= 1/0 (1 JikaY_in >0 dan 0 jika <=0) Misal X1=1, X2=0, W1=0.5, W2=0.2, b=0.3 Y_in = X1W1+ X2W2+b =1 x 0.5 + 0 x 0.2 + 0.3= 0.8 Y =F(0.8)=1

  6. latihan X1 Hitung y atau F(y_in) jika: X1=1, X2=1, X3=0 W1=0.5, W2=0.2, W3=0.3, b=0.4 W1 F(y_in) y • XW+b y_in W2 X2 W3 X3 b 1

More Related