relation: https://digilib.uin-suka.ac.id/id/eprint/11031/
title: STUDI KOMPARASI KINERJA JARINGAN SARAF TIRUAN  DAN FUZZY UNTUK PENGENALAN JENIS BUNGA  BERDASARKAN FITUR WARNA  
creator: ISMI FITRIYANI, NIM. 09650036
subject: Tehnik Informatika
description: There are so many flowering plants in this world, every flower has its own  characteristic, such as colors. Human has the ability to recognize object, while  machine recognizing ability has different process. The way to find its process,  experiments for machine recognizing process is needed using artificial neural  network and fuzzy.  This experiments using 60 flower images (20 each for balloon, cucumber, and  cypress vine flower), the flower images are in .jpg extension and 50x50 pixel size  after preprocessing process (cropping and resizing). Then, after the feature  extraction process, we can get the color feature for recognition process using  Artificial Neural Network (ANN) and Fuzzy.  Identification is using two methods, Backpropagation Neural Network  (BPNN) and Fuzzy Mamdani Inference System for comparing the results of the  accuracy of both methods. Backpropagation Neural Network shows 93,19% result  of recognition. The optimal value for the mean squared error parameter is 0.001,  learning rate 0,05, momentum 0,7, and epoch 1000. By using the optimal parameter  for several ANN architecture, recongnition rate of 100% were obtained, but the  lowest mean squared error generated by the one hidden layer with 16 nodes  architecture. In fuzzy Mamdani’s reasoning experiments recognition rate of 88,19%  were obtained by using 12 curve models (3 models each for 4 curve types). Bell curve  gives the best result of 94,44% recognition rate.  
date: 2014-02-15
type: Thesis
type: NonPeerReviewed
format: text
language: en
identifier: https://digilib.uin-suka.ac.id/id/eprint/11031/2/BAB%20I%2C%20V%2C%20DAFTAR%20PUSTAKA.pdf
format: text
language: en
identifier: https://digilib.uin-suka.ac.id/id/eprint/11031/1/BAB%20II%2C%20III%2C%20IV.pdf
identifier:   ISMI FITRIYANI, NIM. 09650036  (2014) STUDI KOMPARASI KINERJA JARINGAN SARAF TIRUAN DAN FUZZY UNTUK PENGENALAN JENIS BUNGA BERDASARKAN FITUR WARNA.  Skripsi thesis, UIN SUNAN KALIJAGA.