Character Recognition Using Neural Networks

Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function. It requires the unscented Kalman filter,...

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.).

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

JMCAD is an program for the modeling and simulation of complex dynamic systems. This includes the ability to construct and simulate block diagrams. The visual block diagram interface offers a simple method for constructing, modifying and maintaining complex system models. The simulation engine...


Platforms: Windows

** Update: The webinar recording is available at:http://www.mathworks.com/company/events/we.../wbnr51423.htmlThis example demonstrates building a short term electricity load (and price) forecasting system with MATLABdlT«. Two non-linear regression models (Neural Networks and Bagged Regression...


Platforms: Matlab

This demo shows the recognition stage for the character recognition. This example come with a GUI with a trained network for handwritting recognition. The step-by-step explanation can be found at:http://basic-eng.blogspot.com/


Platforms: Matlab

Tomoe is a handwriting character recognition engine.


Platforms: *nix

CryptNET Password Candidate Generator is a password generator. It generates a list of password candidates for the user to choose from by mapping operating system sources of pseudorandomness into printable character arrays using a mod operation. It is capable of generating passwords composed of...


Platforms: *nix

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

Java Automated Development Environment for Neural networks. The project goal is to develop a network training application with helpful analytic features.


Platforms: Windows, Mac, Linux

NeuroPython is a Python module created for easy simulation of neural networks.


Platforms: Windows, Mac, Linux

phpOCR is an Optical Character Recognition system written in PHP. It can be used in automated scripts as well as web interface. Works best for small images like numeric SMS/email authorization codes, bar-code numbers and others.


Platforms: Windows, Mac, Linux

Our software provides an excellent technology platform for your customers to share their documents and data with your back-office in a secure, reliable and efficient manner. The web enabled customer interface allows your customers to load data onto your servers is a secure environment. Each...


Platforms: Windows, Edition 2005,Edition 2005

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

Spanish Tutorial on Neural Control. For academic and educational purposes only.This tutorial presents the implementation of neural networks in control of a flexible swivel non-linear dynamics. Neural networks are trained offline to identify how the system by obtaining the direct and inverse model...


Platforms: Matlab

this model show the design of sun seeker control system using neural network model refrence with neural network toolbox and SIMULINK with MATLAB


Platforms: Matlab

This package includes files for modelling nonlinear dynamic systems using a recurrent generalized neural network. The learning scheme uses the complex method of nonlinear nonderivative optimization, thereby avoiding the problems of computing the derivative of an infinite impulse response filter...


Platforms: Matlab

Neural Network Based System Identification Toolbox Version 2The NNSYSID toolbox contains a number of tools for identification of nonlinear dynamic systems with neural networks. Several nonlinear model structures based on multilayer perceptron networks are provided and there are also many...


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