Change in urban construction land use is an important factor when studying urban expansion. Many scholars have combined cellular automata (CA) with data mining algorithms to perform relevant simulation studies. However, the parameters for rule extraction are difficult to determine and the rules are simplex, and together, these factors tend to introduce excessive fitting problems and low modelin...

A procedure is provided to detect multiple change-points in the mean of very large Gaussian signals. From an algorithmical point of view, visiting all possible con gurations of change-points cannot be performed on large samples. The proposed procedure runs CART rst in order to reduce the number of con gurations of change-points by keeping the relevant ones, and then runs an exhaustive search on...

Exact feedback linearization converts any system into appropriate form such that the controller design becomes convenient for the system. In this technique, control algorithm is developed based on exact feedback linearization through energy control. This approach is applicable to under actuated in which single control input, acceleration of cart, controlled the angle and position of cart. This ...

Non asymptotic risk bounds for Classification And Regression Trees (CART) classifiers are obtained in the binary supervised classification framework under a margin assumption on the joint distribution of the covariates and the labels. These risk bounds are derived conditionally on the construction of the maximal binary tree and allow to prove that the linear penalty used in the CART pruning alg...

Storage device performance prediction is a key element of self-managed storage systems and application planning tasks, such as data assignment and configuration. Based on bagging ensemble, we proposed an algorithm named selective bagging classification and regression tree (SBCART) to model storage device performance. It can improve the accuracy of a single CART model. In contrast with CART mode...

This paper investigates the design and analysis of three controllers used to stabilize an inverted pendulum on a cart. This is accomplished by decomposing each control algorithm into two separate phases: swing-up control and stabilization control. A classical, H2, and H∞ design are each considered to stabilize a nominal linearized model of the inverted pendulum on a cart in the upward vertical ...

This paper describes the study on example selection in regression problems using μ-SVM (Support Vector Machine) linear as prediction algorithm. The motivation case is a study done on real data for a problem of bus trip time prediction. In this study we use three different training sets: all the examples, examples from past days similar to the day where prediction is needed, and examples selecte...

This article presents a multiobjective genetic algorithm to tracking the optimal parameterization problem of the controller concerning the swinging-up and handstand-control of the general cart-doublependulum system (CDPS). The design based on the Human-Simulated Intelligent Control (HSIC) theory is required to meet various criteria according to the expected specifications. The proposed algorith...