TY  - JOUR
T1  - Develop Student Registration Work Using Google Forms
AU - Ali, Nidaa Ghalib AU - Adhab K. Al-Saeedi, Adnan AU - Sahib Dhahir, Zainab 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 19
SP  - 8057
EP  - 8062
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.8057.8062
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.8057.8062
KW  - Google Form
KW  -neural network
KW  -fuzzy inference system
KW  -MATLAB Simulation
KW  -sluggish
KW  -faster
AB  - In this study, Google Forms are used for assembling the data with free ability that carried by Google depending on artificial intelligent. Employers with a google description can emerge forms by an interface that could be joined by email. The service needs the onlookers to have contact to the Internet. Google Forms can be corrected by multiple people and products simple. However, the main drawbacks of Google Form that it consumed time for education. In addition when many of consumers are uploading and downloading the same time, the speed response of Google Form will very sluggish. To enhance the Google Form performance, Adaptive Neuro Fuzzy Inference System (ANFIS) is used to optimize the system. The advantages of the neuro-fuzzy controller are that it determines the number of rules automatically, reduces computational time, learns faster and produces lower errors than other methods.
ER  -