Functional Programming and Mathematical Objects

GENETIC PROGRAMMING AND MULTIVARIATE ADAPTIVE REGRESION SPLINES FOR PRIDICTION OF BRIDGE RISKS AND COMPARISION OF PERFORMANCES

In this paper, two different data driven models, genetic programming (GP) and multivariate adoptive regression splines (MARS), have been adopted to create the models for prediction of bridge risk score. Input parameters of bridge risks consists of safe risk rating (SRR), functional risk rating (FRR), sustainability risk rating (SUR), environmental risk rating (ERR) and target output. The total ...

Symplectic and symmetric methods for the numerical solution of some mathematical models of celestial objects

In the last years, the theory of numerical methods for system of non-stiff and stiff ordinary differential equations has reached a certain maturity. So, there are many excellent codes which are based on Runge–Kutta methods, linear multistep methods, Obreshkov methods, hybrid methods or general linear methods. Although these methods have good accuracy and desirable stability properties such as A...

Kohonen Self Organizing for Automatic Identification of Cartographic Objects

Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...

Measuring and incorporating attitudes toward risk into mathematical programming models : the case of farmers in kavar district iran

Comparing Model-based Versus K-means Clustering for the Planar Shapes

‎In some fields‎, ‎there is an interest in distinguishing different geometrical objects from each other‎. ‎A field of research that studies the objects from a statistical point of view‎, ‎provided they are‎ ‎invariant under translation‎, ‎rotation and scaling effects‎, ‎is known as the statistical shape analysis‎. ‎Having some objects that are registered using key points on the outline...

Modelling and Simulation of a Hydraulic Load- Sensing System in the Cocovila Environment

In this paper we discuss the design of a hydraulic-mechanical loadsensing system using modelling and simulation in an intelligent programming environment. The approach is based on using multi-pole models and signal-flow graphs of functional elements, enabling methodical, graphical representation of mathematical models of large and sophisticated fluid power systems. Modelling and simulation of s...