Characteristics of the existing neural networks GMDH with active neurons are given and their main advantages disadvantages analyzed. Two approaches increasing efficiency inductive construction complex system models from statistical data based on a new hybrid using methods computational intelligence proposed. The effectiveness these is compared classical to artificial modelling tasks (noisy line...

one of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. several edge detectors have been developed in the past decades, although no single edge detector...

In the present paper, an efficient method for three dimensional aircraft pattern recognition is introduced. In this method, a set of simple area based features extracted from silhouette of aerial vehicles are used to recognize an aircraft type from its optical or infrared images taken by a CCD camera or a FLIR sensor. These images can be taken from any direction and distance relative to the fly...

Flow conditions (flow discharge, flow depth, and velocity) in natural streams are mainly determined via the resistance formula such as Manning’s equation. Evaluating accurate roughness coefficient (n), especially rivers with bed form during floods, to obtain more reliable results has always been of interest scholars. The interaction between is very complex since control forms, vice versa. main ...

This paper proposes a new intrusion detection methodology based on hybrid of differential evolution (DE) and group method of data handling (GMDH). It focuses on intrusion detection based on system call sequences using text processing techniques. The hybrid DE-GMDH is used to classify a process as either normal or abnormal. This work presents the application of PCA and hybrid DE-GMDH to modeling...

In present study, a three-step multi-objective optimization algorithm of cyclone separators is catered for the design objectives. First, the pressure drop (Dp) and collection efficiency (h) in a set of cyclone separators are numerically evaluated. Secondly, two meta models based on the evolved Group Method of Data Handling (GMDH) type neural networks are regarded to model the Dp and h as the re...

The rest of this paper is organized as follows. Section 2 describes traditional System Identification and introduces the use of Particle Swarm Optimization (PSO) for determining the coefficients of a simple autoregressive moving average model (SwARMA). Section 3 explains Particle Swarm Optimization. Section 4 describes the results of using PSO for determining the ARMA model parameter (SwARMA) f...