Back Propagation Algorithm

Multiple Back-Propagation is an easy to use application specially designed for the training of neural networks with the Back-Propagation and the Multiple Back-Propagation algorithms.

Control system for DC machine with current back-propagation and two levels of excitation is using in wide area of applications.It developed for modeling of robustness in power circuit of electrical engine. The action of electrical engine determined by stringent conditions of confidence intervals.

Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes for any set of input values. Neural Networks...


Platforms: Windows

This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).We didn't use any feature of neural network toolbox.


Platforms: Matlab

The training input vectors and target vectors are read from files data1in and data1out respectively. The no of nodes in input and output layer is decided depending on the no. of rows in these datasets.The no of hidden layers, No of nodes in each hidden layer and the target error (put 0.1) is to...


Platforms: Matlab

Simple tutorial on pattern recognition using back propagation neural networks. the program has 3 classes with 3 images per class.


Platforms: Matlab

Perceptron LMS Feed Forward Back Propagation Character Recognition


Platforms: Matlab

RHiTech NeuronNet v 1.0b - this COM component allows emulating neural network and training it by the error back-propogation algorithm. Installation with example included.


Platforms: Windows

There are three methods (1, 2 & 3 [Back-propagation]) for forecasting a time series. Here is a collection of MATLAB programming, screen shorts, Fig files giving results. Follow comments in the files to run programs


Platforms: Matlab

CTF project is a multi-agent capture-the-flag framework for education. This project was started by Jason Rohrer during the fall of 2000 and was initially used to teach CS 472, Introduction to AI, at Cornell University. A homework assignment was given that asked students to design a CTF agent...


Platforms: *nix

Simple program for artificial neural network users. Right now the program can manipulate with Feed forward back propagation network.


Platforms: Windows, Mac, Linux

-Compatible with pre-2010 vers. of Matlab and Neural network toolbox-Trains a perceptron for the spring and one for the damper. -Runs a simulation with forcing function and noise.-If you don't have the toolbox, you can still use my back-propagation.


Platforms: Matlab

Algorithm::NeedlemanWunsch is a sequence alignment with configurable scoring. SYNOPSIS use Algorithm::NeedlemanWunsch; sub score_sub { if (!@_) { return -2; # gap penalty } return ($_[0] eq $_[1]) ? 1 : -1; } my $matcher = Algorithm::NeedlemanWunsch->new(&score_sub); my $score =...


Platforms: *nix

NSGA-II is a very famous multi-objective optimization algorithm. I submitted an example previously and wanted to make this submission useful to others by creating it as a function. Even though this function is very specific to benchmark problems, with a little bit more modification this can be...


Platforms: Matlab

This simple simulation shows the implementation of FxLMS algorithm for a single channel feed-forward active noise control system. Here, the controller generates an "anti-noise" signal to result a destructive interference at the sensor position. The objective is to minimize the noise residue.The...


Platforms: Matlab

This simple simulation shows the implementation of FbLMS algorithm for a single channel feedback active noise control system. Here, the controller generates an "anti-noise" signal to result a destructive interference at the sensor position. The objective is to minimize the noise residue.FbLMS...


Platforms: Matlab

Easy Go Back is an Internet Explorer add-on that allows you to conveniently navigate the browser back and forward. Now you can navigate Internet Explorer back & forward with intuitive mouse movements. Press and hold down the right mouse button, move the mouse cursor to the left (backward), then...


Platforms: Windows

Algorithm::Dependency is a base class for implementing various dependency trees. SYNOPSIS use Algorithm::Dependency; use Algorithm::Dependency::Source::File; # Load the data from a simple text file my $data_source = Algorithm::Dependency::Source::File->new( foo.txt ); # Create the...


Platforms: *nix

Algorithm::Knapsack is a brute-force algorithm for the knapsack problem. SYNOPSIS use Algorithm::Knapsack; my $knapsack = Algorithm::Knapsack->new( capacity => $capacity, weights => @weights, ); $knapsack->compute(); foreach my $solution ($knapsack->solutions()) { foreach my $index...


Platforms: *nix

Algorithm::DiffOld is a Perl module to compute `intelligent differences between two files / lists but use the old (<=0.59) interface. NOTE This has been provided as part of the Algorithm::Diff package by Ned Konz. This particular module is ONLY for people who HAVE to have the old interface,...


Platforms: *nix