Genetic algorithms (GAs) are stochastic global search and optimization methods that mimic the metaphor of natural biological evolution [1]. GAs operate on a population of potential solutions applying the principle of survival of the fittest to produce successively better approximations to a solution. At each generation of a GA, a new set of approximations is created by the process of selecting ...

State Space Models (SSM) is a MATLAB 7.0 software toolbox for doing time series analysis by state space meth-ods. The software features fully interactive construction and combination of models, with support for univariate andmultivariate models, complex time-varying (dynamic) models, non-Gaussian models, and various standard modelssuch as ARIMA and structural time-series models. The...

Abstract A two-stage wavelet-multiple population genetic algorithm identification method is proposed to solve the problem of difficult damage detection cantilever structures. The strain mode then transformed into a wavelet using Matlab toolbox, structure’s location examined singularity principle, and displacement frequency are used determine degree multiple (MPGA). When no information about str...

in the present study, a new modelling technique was developed for the modelling and analysis of hyperchaotic systems using an expert system based on wavelet decompositions and the adaptive neuro-fuzzy inference system (anfis). the success and superior properties of this new expert system were shown by applying the hyperchaotic chen system which is a hyperchaotic system. the obtained expert s...

Summary PESTO is a widely applicable and highly customizable toolbox for parameter estimation in MathWorks MATLAB. It offers scalable algorithms for optimization, uncertainty and identifiability analysis, which work in a very generic manner, treating the objective function as a black box. Hence, PESTO can be used for any parameter estimation problem, for which the user can provide a determinist...

Models in the form of characteristic diagrams or more specifically, in the form of engine operating maps are mostly used in the automobile industry. This yields a large amount of measurements and involves the use of advanced instrumentations. This paper shows a developed software environment, namely a toolbox for the program Matlab/Simulink developed by company Mathworks. The name of the toolbo...

The main purpose of this paper is to recognize the speaker by using simple MATLAB programming. In system we compute pitch feature audio signal speaker. By finding out closest from database can be easily recognize. very correctly verify testing many times. Key Words: System design, ,pre-processing, FFT, Pitch, training, testing.

This paper focuses on the application of a robust Fractional Order PID (FOPID) stabilizer tuned by Genetic Algorithm (GA). The system’s robustness is assured through the application of Kharitonov’s theorem to overcome the effect of system parameter’s changes within upper and lower limits. The FOPID stabilizer has been approximatedduring the optimization using the Oustaloup’s approximation for f...

In this paper an operational control technique, based on using the fuzzy logic controller (FLC), is developed and applied to a proposed Photovoltaic-Diesel-Battery (PVDB) hybrid system. The proposed scheme is modeled and simulated using MATLAB-SIMULINK and FUZZY toolbox. The FLC is designed, to work simultaneously with the commonly used ON-OFF controller, for optimizing the operation of the PVD...

Rewriting systems are used in various areas of computer science, and especially in lambda-calculus, higherorder logics and functional programming. We show that the unsupervised learning networks can implement parallel rewriting. We show how this general correspondence can be refined in order to perform parallel term rewriting in neural networks, for any given first-order term. We simulate these...