Self organizing map
This presentation is the property of its rightful owner.
Sponsored Links
1 / 9

Self Organizing Map PowerPoint PPT Presentation


  • 84 Views
  • Uploaded on
  • Presentation posted in: General

Self Organizing Map. SOM. Jaringan Self- Organizing Map merupakan salah satu model jaringan saraf tiruan yang menggunakan metode pembelajaran tanpa supervisi (unsupervised learning) Salah satu keunggulan dari algoritma Self-

Download Presentation

Self Organizing Map

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.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Self organizing map

Self Organizing Map


Self organizing map

SOM

  • Jaringan Self- Organizing Map merupakansalahsatu model jaringansaraftiruan yang menggunakanmetodepembelajarantanpasupervisi (unsupervised learning)

  • Salahsatukeunggulandarialgoritma Self-

    Organizing Map adalahmampuuntukmemetakandataberdimensitinggikedalambentukpetaberdimensirendah.

  • Prosespemetaanterjadiapabilasebuahpola

    berdimensibebasdiproyeksikandariruang

    masukankeposisipada array berdimensisatuatau

    dua


Algoritma

Algoritma

Diberikansuatu data set yang akandibuat SOM

nya

  • Inisialisasisejumlah weight dengannilaiacak

  • Untuksetiapsample input xpada dataset,

    • cari weight yang paling mendekatidengan Euclidian distance, disebut BMU(Best Matching Unit)

    • update weight tsbdenganrumus

    • Lakukaniterasiuntukmeng-update weight sampaimencapainilaiiterasi yang telahditentukandanmengurangilajupembelajaran . Ulangidarilangkah 2


Self organizing map

A map of the world where countries have been colored with the color describing their poverty type (the color was obtained with the SOM in the previous figure):


Matlab

Matlab

net = newsom(PR,[d1,d2,...],tfcn,dfcn,olr,osteps,tlr,tns)

  • PR - Rx2 matrix of min and max values for R input elements.

  • Di - Size of ith layer dimension, defaults = [5 8].

  • TFCN - Topology function, default = 'hextop'.

  • DFCN - Distance function, default = 'linkdist'.

  • OLR - Ordering phase learning rate, default = 0.9.

  • OSTEPS - Ordering phase steps, default = 1000.

  • TLR - Tuning phase learning rate, default = 0.02; TND - Tuning phase neighborhood distance, default = 1.


Self organizing map

  • Akan digunakanpelatihan SOM dengan data gempa (datagempa.xls)

  • Dalammatlabgunakanfungsisom (newsom(parameter,))

  • Lihat source code som.m


  • Login