Neural Therapy For Lungs

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

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...

Evidence Based OMT is a powerful clinical reference and learning tool for any student, clinician or educator involved in the practice or the teaching of manipulative/manual therapy for musculoskeletal disorders. A comprehensive mobile companion providing manipulative techniques for the 9...


Platforms: Mac

Calculates Loudness Level according to ISO-226:2003 using Artificial Neural Networks for any SPL.Hi. This function is an update of work of:VdoTsctor Espinoza, Rodolfo Venegas, Sergio Floody"Modelo de Sonoridad Utilizando Redes Neuronales" (Loudness Model using Neural Networks)V Congreso...


Platforms: Matlab

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 installation program includes evaluation versions of three products for neural network design and development: NeuroSolutions, NeuroSolutions for Excel and the Custom Solution Wizard. NeuroSolutions is a highly graphical neural network development tool for Windows 95/98/Me/NT/2000. This...

Alyuda Forecaster is a forecasting tool with a Wizard-like interface that lets you exploit the power of neural networks technology with an extremely easy-to-use interface. Forecaster is ideal for managers, business analysts and engineers that begin using neural networks for their forecasting...


Platforms: Windows

FullRecall is a software that learns itself about your memory in order to help you memorize knowledge effectively by scheduling optimal intervals between repetitions. Uses artificial neural network, which gradually grasps your forgetting curve, to schedule reviews for a day when you'll be...


Platforms: Windows, *nix

This demo shows some examples for image pre-processing before the recognition stage. the first example is just some commnads of image processing which are commonly used for preprocessing, while the second example shows how to use the simple command to automate the image processing stage...


Platforms: Matlab

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

Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.Marcelo Augusto Costa FernandesDCA - CT - UFRNmfernandes@dca.ufrn.br


Platforms: Matlab

MB Music Therapy Software is an immensely useful, and thereby, a must-own and must-use tool that helps you keep physically and mentally fit. This music remedies software is based on the magic of music with regard to the healing effects it has on the human minds. If you have a health problem or...


Platforms: Windows

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

The SigmaPi Neural Network Simulator is designed for time-series processing and neural network research on Unix/X11. It uses the LSTM neuron model, the RTRL training algorithm and a heuristic learning rate adaptation based on local update sign-changes.To use SigmaPi, you should know how a...


Platforms: Windows, Mac, *nix, C/C++, 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

This add-in to the PSO Research toolbox (Evers 2009) aims to allow an artificial neural network (ANN or simply NN) to be trained using the Particle Swarm Optimization (PSO) technique (Kennedy, Eberhart et al. 2001).This add-in acts like a bridge or interface between MATLABd-deOaos NN toolbox and...


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

In this article, procedure for using the the Matlab Neural Toolbox in order to identify and control an hypothetical non linear plant is explained with details enough to help anybody interested in that issue to know what to do and how to do a complete simulation using the tools that Matlab 7.1 and...


Platforms: Matlab

Simple Matlab Code for Neural Network Hebb Learning Rule.It is good for NN beginners students. It can be applied for simple tasks e.g. Logic "and", "or", "not" and simple images classification.


Platforms: Matlab

Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.


Platforms: *nix