MATEC Web Conf.
Volume 215, 2018The 2nd International Conference on Technology, Innovation, Society and Science-to-Business (ICTIS 2018)
|Number of page(s)||6|
|Section||Emerging Technologies and Applied Science|
|Published online||16 October 2018|
Identification Of Number Using Artificial Neural Network Backpropagation
Institut Teknologi Padang, Electrical Enginering Department, Padang, West Sumatra, Indonesia
* Corresponding author: firstname.lastname@example.org
This research proposed to design and implementation system of voice pattern recognition in the form of numbers with offline pronunciation. Artificial intelligent with backpropagation algorithm used on the simulation test. The test has been done to 100 voice files which got from 10 person voices for 10 different numbers. The words are consisting of number 0 to 9. The trial has been done with artificial neural network parameters such as tolerance value and the sum of a neuron. The best result is shown at tolerance value varied and a sum of the neuron is fixed. The percentage of this network training with optimal architecture and network parameter for each training data and new data are 82,2% and 53,3%. Therefore if tolerance value is fixed and a sum of neuron varied gave 82,2% for training data and 54,4% for new data
© The Authors, published by EDP Sciences, 2018
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