A method for the polygonal approximation using genetic algorithm is presented here. An approximate polygon has been obtained by choosing a certain number of points from a set of sampled points of the original closed planar curve. The Proposed algorithm searches for the longest possible line by maximizing the objective function involving the length and the integral square error along the line se...

We investigate machine learning for the least square regression with data dependent hypothesis and coefficient regularization algorithms based on general kernels. We provide some estimates for the learning raters of both regression and classification when the hypothesis spaces are sample dependent. Under a weak condition on the kernels we derive learning error by estimating the rate of some K-f...

Smart control tactics, wider stability region, rapid reaction time, and high-speed performance are essential requirements for any controller to provide a smooth, vibrationless, efficient of an in-house fabricated active magnetic bearing (AMB) system. In this manuscript, three pre-eminent population-based metaheuristic optimization techniques: Genetic algorithm (GA), Particle swarm (PSO), Cuckoo...

Brushless DC (BLDC) motors are the most popular used by industry because they easy to control. BLDC generally controlled artificial controls such as Fuzzy Logic Controller (FLC), Artificial Neural Network (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS). However, performance of control system in previous studies was compared separately with their respective parameters, making it difficu...

This study presents the improvement in performance of Proportional-integral-derivative (PID) controller for position control antenna azimuth system subjected to external disturbance. The design PID is developed by adding arc tan function error instead direct an integral part controller, yielding a Nonlinear (NPID). A Particle Swarm Optimization (PSO) used this tune parameters and NPID controlle...

The problem of fuzzy time series forecasting plays an important role in many scientific areas such as statistics and neural networks. While forecasting fuzzy time series, most of forecasting applications use the same length of intervals. The determination of length of intervals is significant and critical in fuzzy time series forecasting. The usage of convenient performance measure may also hav...

In numerous industries, especially in automation and industrial processes, the linear servo mechanism is used. However, parameters of friction backlash models are frequently unknown for servomechanism systems, resulting system uncertainty. High steady-state inaccuracy caused by friction, whereas undesired vibration blowback. an issue that still not sufficiently addressed a realistic model. To a...

This paper proposes a fast block-matching algorithm that uses three fast matching error measures, besides the conventional mean-absolute error (MAE) or mean-square error (MSE). An incoming reference block in the current frame is compared to candidate blocks within the search window using multiple matching criteria. These three fast matching error measures are established on the integral project...

Visible and near-infrared (Vis-NIR) diffuse reflectance spectroscopy with partial least squares (PLS) regression is a quick, cost-effective, and promising technology for predicting soil properties. The advantage of PLS regression is that all available wavebands can be incorporated in the model, while earlier studies indicate that PLS models include redundant wavelengths, and selecting specific ...

In this paper, a new collocation method, which is based on Boubaker polynomials, is introduced for the approximate solutions of a class of two-dimensional linear Fredholm integral equationsof the second kind. The properties of two-dimensional Boubaker functions are presented. The fundamental matrices of integration with the collocation points are utilized to reduce the solution of the integral ...