Development and validation of surface energies estimator (SEE) using computational intelligence technique

Development and validation of a moral intelligence questionnaire for Adolescent children of veterans

Development and Validation of Islamic Questionnaire of Spiritual Intelligence

Background and Objectives: Spiritual intelligence makes a major contribution to people’s health and well-being. Since religion is considered as an enriched context for Muslim communities, which can provide them with spiritual experiences, the aim of this study was to develop and validate a questionnaire in order to assess spiritual intelligence among people in these communities. Methods: In th...

A short overview of the electrical machines control based on Flatness-technique

Optimal linear controllers and high computational non-linear controllers are normally applied to control the nonlinear systems. Flatness control method is a control technique for linear systems as well as nonlinear systems by static and dynamic feedback namely as endogenous dynamic feedback. This method takes into account the non-linear behavior of the process while preventing complicated compu...

Outlier Detection for Support Vector Machine using Minimum Covariance Determinant Estimator

The purpose of this paper is to identify the effective points on the performance of one of the important algorithm of data mining namely support vector machine. The final classification decision has been made based on the small portion of data called support vectors. So, existence of the atypical observations in the aforementioned points, will result in deviation from the correct decision. Thus...

Adaptive RBF network control for robot manipulators

TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs a simple Gaussian Radial-Basis-Function Network as an uncertainty estimator. The proposed netw...