Freeware Downloads for "How Program Neural Networks Vba"

Related: Excel Neural Networks Excel Vba - Constructive Neural Networks - Real Time Neural Networks - Real Time Neural Networks Day Trading - Neural Networks Classification

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

  • Platform: Matlab, Scripts
  • Publisher: Alaa Eleyan
  • Date: 24-04-2013
  • Size: 82 KB

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.

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

A.I. Solver Studio is a unique pattern recognition application that deals with finding optimal solutions to classification problems and uses several powerful and proven artificial intelligence techniques including neural networks, genetic programming and genetic algorithms. No special knowledge is required of users as A.I. Solver Studio manages all the complexities of the problem solving internally. This leaves users free to concentrate on formulating their problems of interest.Typically, all that is required of users is that they formulate their problems by creating training data and test data.

This set of programs correspond to demos, exercises, and implementations of algorithms described in Abdi H. (1994) Les Reseaux de Neurone (in French) and in (in English) Abdi, Valentin, Edelman (1999) Neural Networks. Sage These include: Linear auto and hetero associators, radial basis function networks, backpropagation. etc. For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1390.jsp.

  • Platform: Matlab, Scripts
  • Publisher: Herve Abdi
  • Date: 20-02-2013
  • Size: 61 KB

C++ library that efficiently implements data propagation through convolutional neural networks..

Character Recognition Using Neural Networks Steps to use this GUI. 1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored) 2. First we need to teach Character to computer. For this type the Character in the textbox space provided and press "TEACH". 3. You can save all the taught data. 4. For retrival, click start. Note: Paint Brush software of microsoft opens for entering the image. So, we need to save the image after editing. For best results teach each Character not less than ten times.

  • Platform: Matlab, Scripts
  • Publisher: Suresh Kumar Gadi
  • Date: 20-05-2013
  • Size: 174 KB

A rudimentary 3D computer game that utilises artificial neural networks to enable computer agents to anticipate a target's location and shoot (bullets) in the corresponding direction.
Locale Prediction with Neural Networks License - GNU General Public License (GPL).

  • Platform: WinOther
  • Publisher: Smith-project
  • Date:
  • Size: 1291 KB

OpenNN is an open source class library written in C++ which implements neural networks, a main method of artificial intelligence.

This open neural networks library was formerly known as Flood.
Extensive documentation., Unit testing., Many examples.
OpenNN: Open Neural Networks Library License - GNU Library or Lesser General Public License version 3.0 (LGPLv3).

  • Platform: WinOther
  • Publisher: Flood
  • Date:
  • Size: 19923 KB

We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".
Evolution of Artificial Neural Networks License - Public Domain.

JCortex is a complete solution that allows software developers create, educate and use Artificial Neural Networks in Java projects. Splits in two elements: JCortex Framework, an ANN Java framework; and JCortexBuilder, its graphic development environment.
JCortex (Neural Networks Framework) License - GNU Library or Lesser General Public License (LGPL).

  • Platform: Linux, Mac, Windows
  • Publisher: Jcortex
  • Date:
  • Size: 470 KB

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

  • Platform: Matlab, Scripts
  • Publisher: Alaa Eleyan
  • Date: 27-01-2013
  • Size: 10 KB

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..

Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA..

The goal of the project it to learn how to use Neural Networks, and teach one how to play tic tac toe, and get to the never losing ability that most people can play at.
Tic-Tac-Toe Neural Network License - GNU General Public License (GPL).

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..

Octave program which trains artificial neural networks to play backgammon through self-play..

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
  • ANN
  • License: Freeware
  • Rating

The adaptive Neural Network Library (Matlab 5.3.1 and later) is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms. It was developed mainly in June-July 2001 by Giampiero Campa (West Virginia University) and Mario Luca Fravolini (Perugia University). Later improvements were partially supported by the NASA Grant NCC5-685. There are blocks that implement basically these kinds of neural networks: Adaptive Linear Networks (ADALINE) Multilayer Layer Perceptron Networks Generalized Radial Basis Functions Networks Dynamic Cell Structure (DCS) Networks with gaussian or conical basis functions Also, a Simulink example regarding the approximation of a scalar nonlinear function is included.

  • Platform: Matlab, Scripts
  • Publisher: Giampiero Campa
  • Date: 14-03-2013
  • Size: 143 KB

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