TY - JOUR
T1 - Comparison of ANN and SVM to Identify Children Handwriting Difficulties
AU - Hasseim, Anith Adibah
AU - Sudirman, Rubita
AU - Khalid, Puspa Inayat
AU - Tabatabaey-Mashadi, Narges
N1 - Copyright © 2013 SciRes.
PY - 2013/5
Y1 - 2013/5
N2 - This paper compares two classification methods to determine pupils who have difficulties in writing. Classification experiments are made with neural network and support vector machine method separately. The samples are divided into two groups of writers, below average printers (test group) and above average printers (control group) are applied. The aim of this paper is to demonstrate that neural network and support vector machine can be successfully used in classifying pupils with or without handwriting difficulties. Our results showed that support vector machine classifier yield slightly better percentage than neural network classifier and it has a much stable result.
AB - This paper compares two classification methods to determine pupils who have difficulties in writing. Classification experiments are made with neural network and support vector machine method separately. The samples are divided into two groups of writers, below average printers (test group) and above average printers (control group) are applied. The aim of this paper is to demonstrate that neural network and support vector machine can be successfully used in classifying pupils with or without handwriting difficulties. Our results showed that support vector machine classifier yield slightly better percentage than neural network classifier and it has a much stable result.
KW - Neural Network
KW - Support Vector Machine
KW - Handwriting Difficulties
UR - https://www.scirp.org/journal/paperinformation?paperid=35200
M3 - Book/Film/Article review
SN - 1947-3931
VL - 5
JO - Engineering
JF - Engineering
ER -