Download Tag: ARTIFICIAL NEURAL NETWORK


INTEGRATED WEBSITE USABILITY EVALUATION MODEL USING FUZZY ANALYTICAL HIERARCHY PROCESS AND ARTIFICIAL NEURAL NETWORK

ABSTRACT Numerous websites in this contemporary time have been plagued with many usability issues which have  hitherto  made  the  websites  not  effective  and  efficient  for  users  while  searching  for information.  Consequently,  different website usability evaluation models have been proposed to help in evaluating websites. However, most existing models are rather too ambiguous and not easy to use. Also,  selecting and ranking websites based on usability with respect to numerous criteria ...

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RAINFALL PREDICTION FOR MINNA METROPOLIS USING ARTIFICIAL NEURAL NETWORK

ABSTRACT The effect of rainfall in our society today is stupendous.  Rainfall is seen as a benefit to crops and lives. Accurate and timely rainfall prediction can be very helpful for effective security measures  for planning water resources  management,  transportation  activities, agricultural  tasks,  managing  flights  operations,  issuance  of flood warning  and flood situation.  This study aims to predict the rainfall of Minna metropolis.  Atmospheric data comprising  those  of maximum  temperature, ...

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PREDICTING STUDENTS ACADEMIC PERFORMANCE USING ARTIFICIAL NEURAL NETWORK

CHAPTER ONE INTRODUCTION 1.1   BACKGROUND TO THE STUDY Predicting student academic performance has long been an important research topic. Among the issues of education system, questions concerning admissions into academic institutions (secondary and tertiary level) remain important (Ting, 2008). The main objective of the admission system is to determine the candidates who would likely perform well after being accepted into the school. The quality of admitted students has a great ...

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DESIGN AND IMPLEMENTATION OF A SYSTEM FOR PREDICTING STUDENT PERFORMANCE USING ARTIFICIAL NEURAL NETWORK

ABSTRACT Artificial intelligence has enabled the development of more sophisticated and more efficient student models which represent and detect a broader range of student behavior than was previously possible. In this research, the implementation of a user-friendly software tool for predicting the students’ performance in course which is based on a neural network classifier will be made. This tool has a simple interface and can be used by an educator ...

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