Software Downloads for "Neural Network Calculator"

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..

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.

  • Platform: Windows
  • Publisher: OLSOFT
  • Date:
  • Size: 460 KB

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

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Aleksey's Network Calculator is an instrument that's been designed to simplify networking calculations.

The networking calculations that are simplified are:
· Simple conversions between binary, hexadecimal, and decimal numbering systems.
· Determination of network numbers based on an IP address and subnet mask.
· Long-term) The process of subnetting a network into multiple networks based on the number of clients needed in each subnet.


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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

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
  • Publisher: Marcelo Fernandes
  • Date: 23-04-2013
  • Size: 195 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

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

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..

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

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.

  • Platform: WinOther
  • Publisher: AIspace
  • Date:

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..

Financial analysis and investment software that combines traditional technical analysis with state-of-the-art artificial intelligence technologies. Use any combination of financial indicators in conjunction with advanced neural networks and genetic algorithms to create remarkably effective end-of-day or real-time trading models. Included is a free Solution Service, which includes 10 neural network models and the stock data for those models..

ANN (Artificial Neural Networks) is inspired by biology. Specially, they use thoughts from the way in which the brain of human works. The brain of human is poised of extraordinary cells known as neurons. Estimation of the total neurons number in the brain of human cover a broad range, and there are over a hundred different types of neurons, divided into different groups known as networks. The entire network comprises different thousand neurons which are very much interconnected. Therefore, the brain can be analysis as the neural networks collection.

NeuroDiet is a neural network application that learns how the foods you eat are related to your health and fitness. All the neural network functions are managed automatically. You don't need to know anything about neural networks. All you need to do is tell NeuroDiet how your symptoms are changing and which foods you are eating. Every day NeuroDiet will produce a list of foods that may be causing problems with your health and fitness..

NeuroXL Classifier is a neural network add-in for Microsoft Excel. NeuroXL Classifier (ClassifierXL) is an add-in for Excel designed to aid experts in real-world data mining and pattern recognition tasks. It hides the underlying complexity of neural network processes while providing graphs and statistics for the user to easily understand results. NeuroXL Classifier uses only proven algorithms and techniques, and integrates seamlessly with Microsoft Excel. Neural networks are a proven, widely used technology to solve complex classification problems.

  • Platform: Windows
  • Publisher: OLSOFT
  • Date: 05-12-2008
  • Size: 961 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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