Character Recognition Using Neural Networks

WeOCR is a platform for Web-enabled OCR (Optical Character Reader/Recognition) systems. A WeOCR server receives document images from users, recognizes text in the images, and returns recognition results to the users. WeOCR does not have its own character recognition engine. Instead, it is...

SnapReader is an innovative Document Recognition Toolkit that combines Document Imaging, OCR, Text and Speech Processing Tools. Our second generation technology is based on three years of research and development performed while field testing our first generation OCR applications. SnapReader...

Neural network classification results live view (like a movie). Free software for playing with neural networks classification. Major features * Easy, ready to play with. * Live view. * Many network architectures. * Different shapes of training data sets. * Learning with backpropagation...


Platforms: Windows

iSNS is an interactive neural network simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.


Platforms: Windows, Mac, Linux

This is a nonlinear system of differential and algebriac equations, that describe the dynamics of a continuous bioreactor. The bioreactor simulates the production of ethanol through yeast fermentation. The model is described in:Z. K. Nagy, Model Based Control of a Fermentation Bioreactor using...


Platforms: Matlab

This method implements a phase-based Opictal Flow Algorithm described in:Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering.IEEE Trans. Neural Networks, 13(5),...


Platforms: Matlab

To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight in BayesPI, namely Laplace prior and Cauchy prior, by using the evidence approximation method. In addition, we divided...


Platforms: Matlab

It allows users to specify the number of networks in the array and the number of input nodes, number of hidden nodes, number of output nodes, learning rate, momentum factor, minimum initial weight and maximum initial weight of each new network. The initial weights of new networks are randomly...


Platforms: Mac

darknocK detects edges in images, better than any other program. It is using Artificial Neural Networks to enchance the results of standard algorithms. It's a part of My work for My Master degree.


Platforms: *nix

Condor schedules and runs remote CPU intensive applications using the idle cycles of distributively owned workstations. It monitors a pool of machines to find idle machines that are then used to complete submitted jobs, and also provides checkpointing and remote system mechanisms that allow for...


Platforms: *nix

Qtella is a peer-to-peer client using Gnutella protocol. Sharing files over decentralized networks (peer-to-peer) has become very popular. The Gnutella network (Gnet) is one of these p2p networks which is an open network. The advantage of a decentralized network is that no server exists, which...


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

This script uses the IAC (interactive-competition-and-activation) model to analyze a database. Scalyze a dils: - The example is taken from Parallel Distributed Processing, a classic text on neural networks. - The field values represent neurons. - The database rows represent excitory...


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

Encog is an advanced neural network and bot programming library. Encog can be used independently either to create neural networks or HTTP bot programs. Encog also includes classes that combine these two advanced features. Encog contains classes for Feedforward Neural Networks, Hopfield Neural...


Platforms: Mac

JavaBrains is an implementation of common AI algorithms in Java. Current algorithms implemented are: * Neural Networks * Genetic Algorithms * A* Pathfinding I hope to add the following features in the near future: * Bayesian Networks * State Machines * Rule-based inference * Fuzzy logic *...


Platforms: Mac

SHARK provides libraries for the design of adaptive systems, including methods for linear and nonlinear optimization (e.g., evolutionary and gradient-based algorithms), kernel-based algorithms and neural networks, and other machine learning techniques.


Platforms: *nix

Matlab Classification Toolbox contains implementations of the following classifiers: Naive Bayes, Gaussian, Gaussian Mixture Model, Decision Tree and Neural Networks. This toolbox allows users to compare classifiers across various data sets.


Platforms: *nix

OpenAI is dedicated to creating a full suite of highly interoperable Artificial Intelligence components that make the best use of today's technologies. Current tools include Mobile Agents, Neural Networks, Genetic Algorithms and Finite State Machines.


Platforms: *nix

GiMeSpace Mega AI predictor is a program that is using past historical data to predict future data. Obvious applications can be predicting stock market shares and any other hard to predict data streams. But also for more simple data sets this program provides superiour learning capacity. It is...


Platforms: Windows, Windows 8, Windows 7, Windows Server

MPIL is an instance-based learning system , which utilizes two models for creating neighborhoods. The first model places a single neighborhood sphere (based on Euclidean distance measure) around an instance, and is in nature similar to the nearest neighbor classifier, except that it removes...


Platforms: Windows