Using Tictactoe

Conventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front. A lot of research has now been directed towards evolutionary algorithms (genetic algorithm, particle...

A simple Bayesian Network example for exact probabilistic inference using Pearl's message-passing algorithm on singly connected graphs.

Mackey-Glass Time Series Forecasting using Wang-Mendel Method


Platforms: Matlab

Files used in the Webinar "Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms"The zip file contains the data and files used to develop an application to track a market index using Genetic algorithm. The initial algorithm is then wrapped up in MATLAB OOP to create...


Platforms: Matlab

Demo files from the 30 August 2007 Webinar - Reliability Analysis and Robust Design using MATLAB(R) Products"Webinar direct link: http://www.mathworks.com/wbnr14894You will need MATLAB and Statistics Toolbox, Optimization Toolbox, and Simulink to run the Demo.


Platforms: Matlab

Deterministic unconstrained optimization method using Powell.


Platforms: Matlab

This code is a demo of using Genetic Algorithms (GA) to solve a simple constrained multi-objective optimization (MOO) problem.The objective is to find the pareto front of the MOO problem defined as follows: Maximize: f1(X) = 2*x1 + 3*x2 f2(X) = 2/x1 + 1/x2 such that: 10 > x1 > 20 20 > x2 > 30The...


Platforms: Matlab

This code identifies an ARX model of a system using Genetic Algorithms method in a GUI interfcae and compares the identified model with the model generated using the Least Error method.The real system O/P, GA model generated O/p and Least Error model O/P are all compared in a single plot, while...


Platforms: Matlab

In the program, we obtain equilibrium constants, compressibility factors, molar volumes and densities using the Soave-Redlich-Kwong equation of state. We find the same results as those given by Henley and Seader in Equilibrium-Stage Separation Operations in Chemical Engineering, Wiley, 1981...


Platforms: Matlab

Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function. It requires the unscented Kalman filter,...


Platforms: Matlab

In this article, procedure for using the the Matlab Neural Toolbox in order to identify and control an hypothetical non linear plant is explained with details enough to help anybody interested in that issue to know what to do and how to do a complete simulation using the tools that Matlab 7.1 and...


Platforms: Matlab

A Zip file containing the examples that were used in the MathWorks webinar: "Pricing Derivatives Securities using MATLAB".Highlights:* Pricing a portfolio of vanilla options using Black-Scholes, a Binomial Tree and Monte Carlo simulation.* Pricing exotic options using the implied trinomial tree...


Platforms: Matlab

Slides, software, and data for the MathWorks webinar, "Using MATLAB to Develop Macroeconomic Models." The file moneydemo.zip contains a file moneydemo.pdf with slides for the webinar and a collection of MATLAB scripts and helper functions to perform a number of macroeconomic analyses. The main...


Platforms: Matlab

Contains the demos (plus a few extra) that were shown in the August 21, 2008 Webinar titled "Tips and Tricks: Getting started using optimization with MATLAB".Included parallel computing examples that were not shown in the webinar (require R2008a products)


Platforms: Matlab

"Dynamical Systems with Applications using MATLAB" covers standard material for an introduction to dynamical systems theory. The text deals with both discrete and continuous systems.There are applications in mechanical systems, chemical kinetics, electric circuits, interacting species, economics,...


Platforms: Matlab

Solves the Lotka Volterra and Oregonator problems using GUI to present the results. The results show a limit cycle typical of nonlinear dynamic problems. This work was performed as a small three month project by junior students at INSAT, Tunis, Tunisia.


Platforms: Matlab

Using an engine throttle valve modeling example, this demo shares some perspectives on creation of nonlinear models of dynamic systems from the measurements of its input and outputs. It describes useful workflows for approaching the task of data-based modeling using System Identification...


Platforms: Matlab

The user has to provide the program the constants and parameters of the models using a dialog box. A pop-up menu and an update button allow the user to select the plot (Txy, activity coefficients and relative volatility).A similar program using Mathematica 6.0 is available at the following...


Platforms: Matlab

This file explains how to run the demo shown in the July 2005 MATLAB Digest Article "Improving an Engine Cooling Fan Using Design for Six Sigma Techniques." You will need MATALAB, Statistics Toolbox, Curve Fitting Toolbox, and Optimization Toolbox to run all of the analysis. I recommend you view...


Platforms: Matlab

I would like to plot figure(10000) using double axis, see line number 217and I would like to make a movie file of the figure formed using the loop which is from line number 161 to line number 189


Platforms: Matlab