Neural Therapy For Lungs

Computer Home therapy has made the PC into an excellent tool for therapy. This diet therapy program uses light and sound which means visual stimulation through the use of pictures, colors, and live imagery (music and narration from therapists). Begin the therapy now with this two week trial...

NeuralCode is an industrial grade Artificial Neural Networks implementation for financial prediction. The software can take data like the Opening price, High, Low, Volume and other technical indicators for predicting or uncovering trends and patterns. It is designed to utilize Supervised Learning...

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.


Platforms: Windows, Mac, Linux

SNARLI (Simple Neural ARchitecture LIbrary) is a Java package containing a back-prop layer class and classes for the Self-Organizing Map and Incremental Growing Grid. The back-prop class supports sigma-pi connections and back-prop-through-time.


Platforms: Windows, Mac, Linux

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

The form of a single layer feed forward neural network lends itself to finding the gradient. This is useful when the network is used for surrogate optimization or other algorithms that use gradients. Requires creating a file by modifying a NN toolbox file.


Platforms: Matlab

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more...


Platforms: Matlab

This set of programs correspond to demos, exercises, and implementations of algorithms described inAbdi H. (1994) Les Reseaux de Neurone (in French) andin (in English)Abdi, Valentin, Edelman (1999) Neural Networks. SageThese include:Linear auto and hetero associators, radial basis function...


Platforms: Matlab

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

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

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,...


Platforms: Matlab

The large classification margin is the most usual approach to achieve good generalization. The most known maximal margin algorithm is SVM, for which different kernels have been investigated. Unfortunately, in the context of some real world problems, such as on-the-fly object detection, the use of...


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

The tutorial contains programs for PERCEPTRON and LINEAR NETWORKS Classification with a 2-input perceptron Classification with a 3-input perceptron Classification with a 2-neuron perceptron Classification with a 2-layer perceptronPattern association with a linear neuron Training a linear layer...


Platforms: Matlab

Functions to calculate the statistics for the dLIF model described in the paper ``Mechanisms that modulate the transfer of spiking correlations'' by Robert Rosenbaum and Kresimir Josic, published in Neural Computation, 2011.The first few lines of code in each function converts the system with...


Platforms: Matlab

It can quickly process data and to visualize changes in fluorescence; or it can be used to complete multiple analyses of the data obtained in several experiments.Different spatial and temporal filters, as well as correction for bleaching can be applied. The outputs consist in fluorescence time...


Platforms: Matlab

RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition.


Platforms: *nix

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

The Massage Scheduling Software is designed specially to be used on Mac (OS X). The software can easily facilitate all kinds of massage therapists and other professionals that offer manual therapy such as chiropractic, acupuncture, osteopathy, reflex point therapy, spinal manipulation and sports...


Platforms: Mac, Other

C'Pivot is a practice management system, designed for practitioners in coaching, therapy and other disciplines related to complementary and alternative medicine. Such disciplines include psychology, hypnosis and sophrology to name a few. C'Pivot efficiently works with various types of clients....


Platforms: Mac