Genetic Algorithm Time Series Forecast

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.

[h,varargout]=plotColumns(data,varargin)plots columns of a matrix as if each column is a time seriesUSAGE:plotColumns(data);[h] = plotColumns(t,data);[h] = plotColumns(t,data,{colors});[h] = plotColumns(t,data,'plotopt');[h] = plotColumns(...,'plotopt');[h] = plotColumns(...,{colors});

This submission provides functions (and examples scripts) for estimation, simulation and forecasting of a general Markov Regime Switching Regression. Features of the package:- Support for univariate and multivariate models.- Support of any number of states and any number of explanatory...


Platforms: Matlab

This demo shows how to use MATLAB, Optimization Toolbox, and Genetic Algorithm and Direct Search Toolbox to optimize the design of a double wishbone suspension system.Note: You will need to have the following products installed in order to run this demo: MATLAB, Simulink, Optimization Toolbox,...


Platforms: Matlab

This function can find the maximum of constrained and unconstrained problems with using of genetic algorithm (real coding). Also the performance of GA is plotted vs. the number of generations (for 2D problems).


Platforms: Matlab

The algorithm that modeling the processof arbitrary picking matches from matchboxes with equal probability. The process will terminate when one of matchboxes get empty


Platforms: Matlab

Computes cross- or auto-correlograms between two discrete time series, supplied as a list of timestamps.[tsOffsets, ts1idx, ts2idx] = crosscorrelogram(ts1, ts2, window)INPUTS:ts1 - a list of timestamps (in seconds) to use as the reference of the cross-correlogramts2 - timestamps (in seconds) used...


Platforms: Matlab

The program is based on the powerful model-free method of time series analysis Caterpillar-SSA (Singular Spectrum Analysis). The result of the Caterpillar-SSA processing is identification, analysis and forecast of additive components of time series (trends, periodicities, noise). The program can...

With GeneXproTools it is not essential that you have domain specific knowledge to create models, you just need the experimental data and a modern computer. GeneXproTools is very easy to use and as soon as you learn how to load your data, you will be able to generate a model immediately as...


Platforms: Windows

The SigmaPi Neural Network Simulator is designed for time-series processing and neural network research on Unix/X11. Since version 0.5, it uses the LSTM neuron model, the RTRL training algorithm and a heuristic learning rate adaptation based on local update sign-changes. It is GPL-covered, so you...


Platforms: *nix

GAJET (Genetic Alrogithm for Java Evolutionary Testing) is an automatic test generation tool for Java that uses a genetic algorithm. GAJET project uses EMMA to measure test coverage.. Get GAJET at SourceForge.net. Fast, secure and free downloads from the largest Open Source applications and...


Platforms: *nix

PixureSaver is a screensaver that shows the power of genetic algorithms to accomplish trivial tasks. In particular, PixureSaver will show an approximation of the real appearance of an image, and will gradually over time produce better and better approximations of that image. This is done via a...


Platforms: Mac

Jenetics is a Java based object oriented library of an Genetic Algorithm. The library offers a clear separation of the several concepts of the algorithm, e.g. Gene, Chromosome, Genotype, Phenotype, Population and FitnessFunction. for WindowsAll


Platforms: Windows

DataMontage™ is a Java software library and collection of interactive software applications that enables you to create and display information-dense graphical displays comprised of coordinated timelines, time-series graphs, and time-stamped notes. You can stack graphs and timelines vertically...


Platforms: Windows

Open source (BSD) PowerShell snap-in featuring CmdLets dedicated to time-series forecasting. Time-series forecasting includes demand forecasting, sales analysis, inventory planning, retail prediction, production forecast, prices predictions, staff scheduling, resource optimization ......


Platforms: Windows

The user has to supply the fixed ending points before the script can be ran. Requirements: - MATLAB 7.6 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

It finds a (near) optimal solution to a variation of the M-TSP (that has a variable number of salesmen) by setting up a GA to search for the shortest route (least distance needed for the salesmen to travel to each city exactly once and return to their starting locations). Each salesman travels to...


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

The SigmaPi Neural Network Simulator is designed for time-series processing and neural network research on Unix/X11. It uses the LSTM neuron model, the RTRL training algorithm and a heuristic learning rate adaptation based on local update sign-changes.To use SigmaPi, you should know how a...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

GUI for univariate time series modeling and decomposition based on Pandit and Wu (1983)


Platforms: Matlab

Plots columns of matrix data as distinct time series. User should normalize data first to minimize overlap.


Platforms: Matlab