An In-depth Study of Typical Machine Learning Methods via Computational Techniques
Journal Title: Annals. Computer Science Series - Year 2018, Vol 16, Issue 2
Abstract
The ability to model and perform decision modeling and analysis is an essential feature of many real-world applications ranging from emergency medical treatment in intensive care units to military command and control systems. Models are essential in providing support for businesses processes, systems and dealing with complex problems. The development of appropriate models for planning and management is a tool for improving efficiency in real world problems. Consequently, a thorough study of common machine learning techniques is undertaken with the aim of comparing the techniques and identifying a suitable technique that is applicable to modeling and forecasting real world data. Modeling helps make informed decisions, using techniques for analysis, estimation and, forecasting. There is a lot of research published about machine learning techniques, with the intention of developing models for estimations. In order to identify an appropriate machine learning technique, it is necessary to carry out a comparative study of commonly used machine learning techniques. For this purpose, a review of Box-Jenkins technique, regression method and artificial neural network (ANN) is undertaken with the aim of identifying a reliable and accurate technique for modeling data.
Authors and Affiliations
Patrick A. OZOH, Morufu Oyedunsi OLAYIWOLA, Adepeju A. ADIGUN
Keywords
Related Articles
- EP ID EP550027
- DOI -
- Views 87
- Downloads 0
Variance Components of Models of Sudoku Square Design
This study aimed at obtaining variance component estimators for all effects of Sudoku square models. The analysis of variance (ANOVA) method was used for the derivation of the variance components for the four Sudoku mode...
An In-depth Study of Typical Machine Learning Methods via Computational Techniques
The ability to model and perform decision modeling and analysis is an essential feature of many real-world applications ranging from emergency medical treatment in intensive care units to military command and control sys...
Application Of Dimensionality Reduction On Classification Of Colon Cancer Using Ica And K-Nn Algorithm
Several sectors including engineering, health, academics and so on deals with very large number of information and few specimens. This highlight the need of a technique to improve data accuracy in order to enable profess...
The Usefulness of Multilevel Hash Tables with Multiple Hash Functions in Large Databases<br />
In this work, attempt is made to select three good hash functions which uniformly distribute hash values that permute their internal states and allow the input bits to generate different output bits. These functions are...
Modeling the geographical studies with GeoGebra-software
The problem of mathematical modeling in geography is one of the most important strategies in order to establish the evolution and the prevision of geographical phenomena. Models must have a simplified structure, to refle...