Software Listing: Neural

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 algorithm.
* Optional momentum.

For better understanding of neural networks. SharkTime Software - Sharky Neural Network - Classification neural network in action..

  • Platform: Win2000, Windows Vista, WinOther, WinVista

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 algorithm. * Optional momentum. For better understanding of neural networks..

  • Platform: WinOther

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..

  • Platform: Matlab, Scripts

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

  • Platform: Matlab, Scripts

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., 18 25. [2] Carpenter, G. A., Grossberg, S., Markuzon, N. and Rosen, D. B., 'Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps', IEEE Trans. Neural Networks, 3(5):698-713, 1992. Disclaimer: Author is not responsible for currently unknown bugs. Use the programs at your own risk. Please report any bugs and/or problems by e-mail.

  • Publisher: Emre Akbas
  • Date: 05-03-2013
  • Size: 20 KB
  • Platform: Matlab, Scripts

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 such as a recurrent neural network. 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 such as a recurrent neural network.

  • Platform: Matlab, Scripts

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, ukf function, which can be downloaded from: http://www.mathworks.com/matlabcentral/fil...objectType=FILE.

  • Publisher: Yi Cao
  • Date: 09-01-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

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 later offers to us. Many figures are included to be more explicit..

  • Platform: Matlab, Scripts

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..

  • Publisher: Ibraheem
  • Date: 26-06-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

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

  • Platform: Matlab, Scripts

Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink. Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink. Marcelo Augusto Costa Fernandes DCA - CT - UFRN mfernandes@dca.ufrn.br.

  • Platform: Matlab, Scripts

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

  • Platform: Matlab, Scripts

OLSOFT Neural Network Library is a fully self-contained COM ActiveX control written in Visual C++ 6.0 and ATL. There are no external dependencies required for its operation such as other DLLs.

OLSOFT Neural Network Library is the class to create, learn and use Back Propagation neural networks and SOFM (Self-Organizing Feature Map). The library makes integration of neural networks functionality into your own applications easy and seamless. It enables your programs to handle data analysis, classification and forecasting needs.

The advanced learning and training capacities of OLSOFT Neural Network library allow using it for solving various needs and performing data mining, clusterization tasks in a variety of fields, such as finance, science, education, medicine, sport betting, etc.

  • Publisher: OLSOFT
  • Date:
  • Size: 460 KB
  • Platform: Win2000, Windows Server, Windows Vista, WinOther

NEural SOrter, also known as NESO, was developed as an accessible and handy tool that can help you with neural sorting.

Now, you can perform the sorting you need, with the help of this useful piece of software. All you have to do is input your sorting options.


.

  • Platform: WinOther

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 is a handy, easy to use tool specially designed to visually demonstrate the feedforward backpropagation algorithm. There is visual feedback for weight adjustments and error analysis.

Neural Network features support for graphical modification and creation of neural networks. It allows for separate training and test sets, where the network is trained by the training set, and the test set is a "control".

  • Platform: WinOther

Artificial Neural Network is a little application designed to demonstrate artificial intelligence.

Taking advantage of serialization, there are two parts of the network. The actual network, and then training data. The C# version of the Artificial Neural Network is much cleaner, more concise, and more efficient. for WindowsAll

.

  • Platform: WinOther

Generates knight's tours using a neural network algorithm.

There was a paper in an issue of Neurocomputing that got me intrigued: it spoke of a neural network solution to the knight's tour problem. I decided to write a quick C++ implementation to see for myself, and the results, although limited, were thoroughly fascinating.

The neural network is designed such that each legal knight's move on the chessboard is represented by a neuron. Therefore, the network basically takes the shape of the knight's graph over an n x n chess board. (A knight's graph is simply the set of all knight moves on the board).

  • Platform: WinOther

NeuroSolutions is a highly graphical neural network development tool for Windows. This leading edge software combines a modular, icon-based network design interface with an implementation of advanced learning procedures, such as recurrent backpropagation, backpropagation through time and genetic optimization. The result is a virtually unconstrained environment for designing neural networks for research or to solve real-world problems..

  • Platform: WinOther

Artificial Neural Networks are computational paradigms which implement simplified models of their biological counterparts, biological neural networks. Biological Neural Networks are the local assemblages of neurons and their dendrite connections that form the brain. The implementation of Neural Networks for brain-like computations like patterns recognition, decisions making, motory control and many others is made possible by the advent....

  • Platform: Dos, WinOther

Neural networks software for forecasting with a Wizard-like interface. Easy to start for beginners in Standard Mode that automatically tailors data to a neural network, selects the most suitable network architecture and prepares the neural net for forecasting. Professional forecasters and analysts enjoy advanced features in Expert Mode full-packed with data preprocessing techniques, training algorithms, architecture selection methods and more..

  • Platform: WinOther

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