Software Downloads for "Free Neural Network Project"

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..

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..

The Stem Cell Artificial Neural network project entails the analysis and integration of genomics data for extracting the stemness signature of several tissues by training a multiclass single-layer linear artificial neural network..

Geeks Artificial Neural Network (G.A.N.N) is an open source project that started with the philosophy of being a new more advanced A.N.N that works as a platform for other applications. In other words, G.A.N.N should be considered as a "Black Box"..

iSNS is an interactive neural network simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague..

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
  • Publisher: Alan Jennings
  • Date: 14-01-2013
  • Size: 41 KB

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
  • Publisher: Waleed Khalid
  • Date: 19-02-2013
  • Size: 20 KB

This project aims at creating a flexible, extendible and re-usable neural network library, and an XML based programming language to create, train and run neural networks using the above mentioned library.
BrainNet Neural Network Framework License - GNU Library or Lesser General Public License (LGPL).

  • Platform: WinOther
  • Publisher: Brainnet
  • Date:

Neuroph is lightweight Java neural network framework to develop common neural network architectures. It contains well designed, open source Java library with small number of basic classes which correspond to basic NN concepts. Also has nice GUI neural network editor to quickly create Java neural network components. It has been released as open source under the Apache 2.0 license, and it's FREE for you to use it.

Neuroph simplifies the development of neural networks by providing Java neural network library and GUI tool that supports creating, training and saving neural networks.

  • Platform: Windows
  • Publisher: Zoran Sevarac
  • Date:
  • Size: 65843 KB

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.

  • Platform: WinOther
  • Publisher: Dmitry Brant
  • Date:
  • Size: 256 KB

The physic of the real world can be formulated into mathematical form using differential equations. Differential equation and systems of differential equations are the natural language trough we can describe any real devices like electronic circuit, automatic controls, elettro-magnetic wave emission or any other engineering problems. The purpose of OpenDDPT project is to build a software that can aids people to build automatically these control devices. The strategy used by this software is based on the concept that differential equations generally are parameters dependent so we can found optimal control parameters using an optimization template.

  • Platform: Linux, Mac, Windows
  • Publisher: Centi Riccardo
  • Date: 26-10-2011
  • Size: 2235 KB

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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.

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

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
  • Publisher: Travis Wiens
  • Date: 18-01-2013
  • Size: 256 KB

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 independent of gray-level shifts. The output is then learned by interacting with the classification process. The feature extraction and classification networks are trained together, allowing the MSNN to simultaneously learn feature extraction and classification for a face.

  • Platform: Matlab, Scripts
  • Publisher: than Png
  • Date: 08-02-2013
  • Size: 18698 KB

Free Electric Network Drawing Interface is a free graphical user interface used to draw electrical systems.

It will be used by a lot of kind of simulations engines like loadflow or short-circuit calculations, stability and transient simulations.



http://www.free-power.org/free-electric.html.

NeuralNetworkToolkit is an object oriented neural network API written in Java for modelling, implementing and training artificial neural networks..

ANNJ, Another Neural Network for Java is a neural network framework for the Java programming language. It is still in an early development stage, currently supporting only feed-forward type networks, but will soon be able to handle many other types..

Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map) which is one of AI algorithms and useful tool for data mining and discovery knowledge in data (http://knnl.sf.net)..

Fully Connected Neural Network with Neurons with Multidimensional Activation Function..

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