The nature of statistical learning theory
The nature of statistical learning theory
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Control of convergence in a computational fluid dynamics simulation using ANFIS
IEEE Transactions on Fuzzy Systems
Housing price forecasting based on genetic algorithm and support vector machine
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Forecasting of entropy generation of laminar natural convection in a partially cooled square cross-sectional room has been performed using support vector machines (SVM). The two-dimensional room was modeled as floor heating story with a window. Values of temperature and velocities were obtained by solving governing equations of natural convection with finite difference technique and using these values entropy generation was calculated with its definition. Forecasting of entropy generation due to fluid friction irreversibility (FFI) and heat transfer irreversibility (HTI) were made with known values for unknown parameters using SVM. Thus, calculation time was extremely reduced and values were obtained even for non-convergence cases. It was observed that the SVM was a strong method to predict the entropy generation without computational fluid dynamic analysis for all cases.