A Genetic Programming Approach to Binary Classification Problem
| Autor: | R. Regin, Leo Willyanto Santoso, S. Suman Rajest, Karrar Hameed Kadhim, Bhopendra Singh |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Feature engineering
Computer science Evolutionary algorithm Energy Engineering and Power Technology Genetic programming 02 engineering and technology Machine learning computer.software_genre lcsh:QA75.5-76.95 020204 information systems 0202 electrical engineering electronic engineering information engineering Feature (machine learning) evolutionary algorithms lcsh:Science Marketing Artificial neural network binary classification Renewable Energy Sustainability and the Environment business.industry lcsh:Mathematics Intelligent decision support system lcsh:QA1-939 machine learning Binary classification Pattern recognition (psychology) 020201 artificial intelligence & image processing genetic programming lcsh:Q Artificial intelligence lcsh:Electronic computers. Computer science business computer |
| Zdroj: | EAI Endorsed Transactions on Energy Web, Vol 8, Iss 31 (2021) |
| Popis: | The Binary classification is the most challenging problem in machine learning. One of the most promising technique to solve this problem is by implementing genetic programming (GP). GP is one of Evolutionary Algorithm (EA) that used to solve problems that humans do not know how to solve it directly. The objectives of this research is to demonstrate the use of genetic programming in this type of problems; that is, other types of techniques are typically used, e.g., regression, artificial neural networks. Genetic programming presents an advantage compared to those techniques, which is that it does not need an a priori definition of its structure. The algorithm evolves automatically until finding a model that best fits a set of training data. Feature engineering was considered to improve the accuracy. In this research, feature transformation and feature creation were implemented. Thus, genetic programming can be considered as an alternative option for the development of intelligent systems mainly in the pattern recognition field. |
| Databáze: | OpenAIRE |
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