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Path: Top > S1-Final_Project > Fakultas_Teknik_dan_Ilmu_Komputer > Teknik_Informatika > 2007

APLIKASI JARINGAN SYARAF TIRUAN UNUTK MEMPREDIKSI JUMLAH PENDUDUK MENGGUNAKAN ALGORITMA BACKPROPAGATION

Undergraduate Theses from JBPTUNIKOMPP / 2010-11-02 14:22:36
By : REZA MURCANING RATIH; NIM 10102074, Jurusan Teknik Informatia, Fakultas Teknik dan Ilmu Komputer, UNIKOM
Created : 2007-09-19, with files

Keyword : 1. JARINGAN SYARAF TIRUAN
Url : http://

Development of technology has been made some method like brain of




human that know as artificial neural network.




artificial neural network that is computation where architecture and operation be




inspiration from knowledge neural biologic in brain. Artificial neural network can




be sketch like mathematics model and computation for function non linier




aproctimation, data clacification, cluster and non parameticregretion or like




simulation from neural biolagic collection. Artificialneural network can be




applying for prediction.




Predict sistem conventional is begin konsep for predict population people




using computer tools and suport by artificial neural network with




backpropagation algorithm.with artificial neural network,computer function for




predict amount of people population compared other factor like amount of born,




dying, migration (come and out habitat in some place), gender, and basicly from




wide and region every years.




Prediction amount of population in exprience looking for balancing




population each years ago and population for next years. Hopessly will be some




pattern with input pettern population for take decide and give output pattern




predict like a exercice data.

Description Alternative :

Development of technology has been made some method like brain of




human that know as artificial neural network.




artificial neural network that is computation where architecture and operation be




inspiration from knowledge neural biologic in brain. Artificial neural network can




be sketch like mathematics model and computation for function non linier




aproctimation, data clacification, cluster and non parameticregretion or like




simulation from neural biolagic collection. Artificialneural network can be




applying for prediction.




Predict sistem conventional is begin konsep for predict population people




using computer tools and suport by artificial neural network with




backpropagation algorithm.with artificial neural network,computer function for




predict amount of people population compared other factor like amount of born,




dying, migration (come and out habitat in some place), gender, and basicly from




wide and region every years.




Prediction amount of population in exprience looking for balancing




population each years ago and population for next years. Hopessly will be some




pattern with input pettern population for take decide and give output pattern




predict like a exercice data.

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