Horseracing Neural Usa

The attached zip file contains what is needed to implement a two layer neural network. This will hopefully be the first part of a broader collection of neural network tools.It can be used to train and simulate a NN with two layers, an input layer and an output layer. The output layer's activation...

-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.

The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example...


Platforms: Matlab

This is a learning model for matrix-based data. It can be more efficient than standard vector-based models when the training sample is small or the inputs are matrices, since this model has less parameters than standard ones and exploits an inner structure of the inputs. This model can be...


Platforms: Matlab

We introduce an algorithm based on the morphological shared-weight neural network. Being nonlinear and translation-invariant, the MSNN can be used to create better generalization during face recognition. Feature extraction is performed on grayscale images using hit-miss transforms that are...


Platforms: Matlab

SINCO is a GPL library with functions to implement Artificial Neural Networks simulators. You are free to define the network (ilimited neurons and layers) and the functions (training, threshold, etc.).


Platforms: *nix

Show off your American pride! This patriotic screen saver displays red, white and blue animated fireworks bursting over six different all-American scenes. Backgrounds include the American flag, Statue of Liberty, bald eagle, rider on horseback with flag, Mount Rushmore, and the Liberty Bell in...


Platforms: Windows

TDL - Win Neural Net Pattern Recog. Tool Quick, hassle-free automatic construction of NN by use of evolutionary processes. Trans-Dimensional Learning allows multiple data sets to be learned incrementally, regardless of differences in number of inputs and outputs. Complete graphical support of...


Platforms: Windows

v(1.0) fSC-Net - Win Neural Net Fuzzy Pattern Recognition. Quick, hassle-free automatic construction of Neural Networks. Incremental learning. Support of fuzzy logic. Hybrid symbolicconnectionist representation. Complete graphical support of training and testing. Point and click recall of network...


Platforms: Windows

"Old Glory" has lived with us for over 300 years. It's stars and stripes of red, white and blue have led us into battles against giants and helped us overcome our fears and establish our freedoms. Its stars have gradually increased in number while a nation was being born. It has been a waving...


Platforms: Windows

annie stands for Artificial Neural Network Library and is a C++ API (library) for neural network training and execution. ersions exist for both Windows and flavours of Unix (tested on Linux). The library currently has support for training, saving and executing multi-layer perceptron,...


Platforms: *nix

AI::NNFlex is a base Perl class for implementing neural networks. SYNOPSIS use AI::NNFlex; my $network = AI::NNFlex->new(config parameter=>value); $network->add_layer( nodes=>x, activationfunction=>function); $network->init(); $network->lesion( nodes=>PROBABILITY,...


Platforms: *nix

AI::NNFlex::Backprop project is a fast, pure perl backprop Neural Net simulator. SYNOPSIS use AI::NNFlex::Backprop; my $network = AI::NNFlex::Backprop->new(config parameter=>value); $network->add_layer(nodes=>x,activationfunction=>function); $network->init(); use...


Platforms: *nix

AI::NeuralNet::Simple is a simple learning module for building neural nets. SYNOPSIS use AI::NeuralNet::Simple; my $net = AI::NeuralNet::Simple->new(2,1,2); # teach it logical or for (1 .. 10000) { $net->train([1,1],[0,1]); $net->train([1,0],[0,1]); $net->train([0,1],[0,1]);...


Platforms: *nix

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

dANN library can help create artificial neural networks within other programs. It is currently written in Java, C++, and C#. However, C++ and C# versions can only be obtained through the SVN at the moment. Also, the C++ and C# versions are not properly documented and cleaned up, although they...


Platforms: *nix

AI::NeuralNet::BackProp is a simple back-prop neural net that uses Deltas and Hebbs rule. SYNOPSIS use AI::NeuralNet::BackProp; # Create a new network with 1 layer, 5 inputs, and 5 outputs. my $net = new AI::NeuralNet::BackProp(1,5,5); # Add a small amount of randomness to the network...


Platforms: *nix

KXNeur is a X Neural Switcher front-end for KDE. Its a program like Punto Switcher, but has other functionally and features. Last version can get from svn: svn://xneur.ru:3690/xneur/xneur and svn://xneur.ru:3690/xneur/kxneur PS XNeur homepage ( http://xneur.ru ) on Russian only PPS KXNeur...


Platforms: *nix

ffnet is meant to be an easy and fast feed-forward neural network training solution for python..


Platforms: *nix

scnANNlib is a Sentinel Chicken Networks Artificial Neural Network Library. Documentation on what is what can be found in README.files. Currently, the API specification and documentation can only be found in the source of the header files (in lib/), but this will be improved in later releases....


Platforms: *nix