Character Recognition Using Neural Networks

Perceptron LMS Feed Forward Back Propagation Character Recognition

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...

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported.It...


Platforms: BSD Solaris

Tremani Neural Network allows you to build, train and employ neural networks in PHP. It is easy to use and set up, and does not rely on external software to be installed on your webserver. Above all, the software is open source, which means you can use and modify it freely.A neural network can be...


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

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported.It...


Platforms: BSD Solaris

SFAM is an incremental neural network classifier. It is a simple and fast version of Fuzzy ARTMAP (FAM). Both FAM and SFAM produce the same output given the same input.References:[1] Kasuba, T. (1993). "Simplified fuzzy ARTMAP." AI Expert, Nov., 18d-deOCt25.[2] Carpenter, G. A., Grossberg, S.,...


Platforms: Matlab

IntelligenceLab is a set of .NET 2.0-4.0 components for Artificial Intelligence. Includes: Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more. Usage: Speech recognition, Face recognition, Computer vision, Gesture recognition, Robotics,...


Platforms: Windows

NeuroEvolver is a tool for training and experimenting with one particular kind of recurrent neural networks, namely Long Short-Term Memory networks using an evolutionary learning method.


Platforms: Windows, Mac, Linux

Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only.in this system, 'A' template is feedback matrix, and 'B' template is control matrix.also, 'I' is Bias value.all image...


Platforms: Matlab

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

PDF OCR X is a simple utility for Mac OS X that allows users to convert their PDFs and images into text or searchable PDFs using an intuitive drag-and-drop interface. It uses advanced OCR (optical character recognition) to extract the text, even if that text was contained inside an image, which...


Platforms: Mac

GNU Ocrad is an OCR (Optical Character Recognition) program implemented as a filter and based on a feature extraction method. Also includes a layout analyser able to separate the columns or blocks of text normally found on printed pages. Ocrad can be used as a stand-alone console application,...


Platforms: *nix

JavaSOM package is an implementation of self-organizing maps (SOM), based on neural networks, to Java2 programming language and utilization of XML based application languages for information exchange and visualization.


Platforms: *nix

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

Tomoe is a handwriting character recognition engine.


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

GINNet, also known as the Graphical Interface for Neural Networks was developed as a decision-making platform written in Java. It has been designed in order to favorize the development and use of neural networks. It was create so that it could make, neural networks, teaching and evaluation easier.


Platforms: Windows

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.


Platforms: Windows

AnimatLab is a simple, easy to use application specially designed to combine biomechanical simulation and biologically realistic neural networks. You can build the body of an animal, robot, or other machine and place it in a virtual world where the physics of its interaction with the...


Platforms: Windows

DynNet is built as a Java library that contains basic elements that are necessary in order to build neural networks. Neural network classical models are already available (Multi-layer perceptron, Kohonen self-organizing maps, neural gas, growing neural gas, etc.).


Platforms: Windows