Panel data combine cross-sectional and time-series data. Data on economic, business, social, development issues are often presented in panel In constructing the regression model, it is necessary to take various steps for testing model specifications, including Chow test Hausman test. This study constructed a classical adaptive neuro-fuzzy inference system (RANFIS). The RANFIS by applying fuzzy ...

Swelling in compacted soils may lead to some damages structures and buildings. For the sake of reducing such damages, soil swelling should be determined, so as make exhibit adequate resistance against a phenomenon. most cases, fully non-linear relations have been observed between parameters contributing soil. As such, determined via either experimentations or prediction models. However, being e...

The aim of this work is to optimise the vibration of the plate with the help of Adaptive neuro-fuzzy inference system (ANFIS) controller. The contribution of piezoelectric sensor and actuator layers on the mass and stiffness of the plate is considered. As the plate is square so we get total 64 squares. To validate the present code, frequency response has been compared with exact solution as wel...

Conventional control algorithms used in pH control systems give inefficient performance, leading to use of large mixers. To improve the neutralization control process, an ANFIS based advanced controller has been proposed. In this paper, method of design of adaptive controller based on neurofuzzy technique is presented. The method uses ANFIS methodology to 1 / 4