Neuro-fuzzy systems in determining light weight concrete strength
| Autor: | Mehdi Nikoo, Seyed Vahid Razavi Tosee |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adaptive neuro fuzzy inference system
Neuro-fuzzy business.industry 020209 energy Metals and Alloys General Engineering Inference Statistical model 02 engineering and technology Structural engineering Compressive strength Metallic materials Ultimate tensile strength Linear regression 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Mathematics |
| Zdroj: | Journal of Central South University. 26:2906-2914 |
| ISSN: | 2227-5223 2095-2899 |
| DOI: | 10.1007/s11771-019-4223-3 |
| Popis: | The adaptive neuro-fuzzy inference systems (ANFIS) are widely used in the concrete technology. In this research, the compressive strength of light weight concrete was determined. To this end, the scoria percentage and curing day variables were used as the input parameters, and compressive strength and tensile strength were used as the output parameters. In addition, 100 patterns were used, 70% of which were used for training and 30% were used for testing. To assess the precision of the neuro-fuzzy system, it was compared using two linear regression models. The comparisons were carried out in the training and testing phases. Research results revealed that the neuro-fuzzy systems model offers more potential, flexibility, and precision than the statistical models. |
| Databáze: | OpenAIRE |
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