Neural Network Toolbox for MATLAB
An environment for neural network research, design, and simulation within MATLAB.

Neural Network Stock Prediction
Software that uses a three level neural network which provides stock quotes and historical backtesting to make a prediction.

SENNA: a Neural Network Architecture for Semantic Extraction.
A language processor utilizing a neural network to split a sentence into its speech tags and other named entities. Source code is not available, only binaries. [FREE]

Designing And Implementing A Neural Network Library For Handwriting Detection, Image Analysis etc.- The BrainNet Library - Full Code, Simplified Theory, Full Illustration, And Examples - CodeProject
A concise explanation of backward propagation neural networks for handwriting analysis. Beginning functions are given for its 'Brain Net' library in VB.Net. [LGPL]

Neural Network FAQ
This FAQ from comp. ai. neural- nets contains the most commonly asked questions about neural networks, including some great introductory material.

Wikipedia: Neural Network
Free encyclopedia article addressing the historical background, the learning paradigms and the different application areas.

Neural Network Centers Around the World
Collection of Neural Network resources sorted by topic.

IEEE Neural Network Council
The council advances and coordinates work in neural networks carried thoughtout the IEEE.

Neural Network Leaves Recognition
A neural network based system to recognize leaves written in Java. A Java- Applet is also available.

Lightweight Neural Network++
Free software project. Implements a general feed forward neural network and some training techniques.

Prediction with neural network
Tutorial that includes Java applet for online experiments with prediction of a function, including training set generation and error observation.

University of Hertfordshire Neural Network Software
Suite of unsupervised competitive learning software written in Java, with full source code.

Software Downloads for "Neural Network Toolbox Matlab"

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

  • Platform: Scripts, Matlab
  • Publisher: Waleed Khalid
  • Date: 19-02-2013
  • Size: 20 KB

The NeuroSolutions for MATLAB neural network toolbox is a valuable addition to MATLAB's technical computing capabilities allowing users to leverage the power of NeuroSolutions ( inside MATLAB and Simulink. The toolbox features 15 neural models, 5 learning algorithms and a host of useful utilities integrated in an easy-to-use interface, which requires OCtnext to no knowledgeOCL of neural networks to begin using the product. The toolbox is also integrated with NeuroSolutions, which enables users to build custom networks in NeuroSolutions and use it inside Matlab using the NeuroSolutions for Matlab interface.

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..

Given a neural network object, this function returns the closed, symbolic, expression implemented by the network (as a string). This allows you to use a neural network model without relying on the neural network toolbox. Note I only implemented for feed forward nets (MLPs) and not all possible transfer functions are supported. However, it should be very straightforward to do this. Example: >> net = newff([-1 1; -1 1],[3 1]); >> getNeuralNetExpression(net) ans = (2/(1+exp(-2*((2/(1+exp(-2*(x1*1.

  • Platform: Scripts, Matlab
  • Publisher: Dirk Gorissen
  • Date: 20-03-2013
  • Size: 10 KB

RubyFann Bindings to use FANN (Fast Artificial Neural Network) from within ruby/rails environment. Requires: Ruby 1.8.6 or greater. gnu make tools or equiv for native code in ext To install: sudo gem install ruby-fann.

  • Platform: Scripts, Ruby
  • Publisher: Steven Miers
  • Date: 16-02-2013
  • Size: 164 KB

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


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

This add-in to the PSO Research toolbox (Evers 2009) aims to allow an artificial neural network (ANN or simply NN) to be trained using the Particle Swarm Optimization (PSO) technique (Kennedy, Eberhart et al. 2001). This add-in acts like a bridge or interface between MATLAB's NN toolbox and the PSO Research Toolbox. In this way, MATLAB's NN functions can call the NN add-in, which in turn calls the PSO Research toolbox for NN training. This approach to training a NN by PSO treats each PSO particle as one possible solution of weight and bias combinations for the NN (Settles and Rylander ; Rui Mendes 2002; Venayagamoorthy 2003).

  • Platform: Scripts, Matlab
  • Publisher: Tricia Rambharose
  • Date: 09-01-2013
  • Size: 358 KB

-Compatible with pre-2010 vers. of Matlab and Neural network toolbox -Trains a perceptron for the spring and one for the damper. -Runs a simulation with forcing function and noise. -If you don't have the toolbox, you can still use my back-propagation..

This function constructs a bottleneck (or autoassociative) neural network. It is used for dimensionality reduction or nonlinear principle components analysis. This function was tested under MATLAB 5.3, and requires the Neural Network toolbox..

  • Platform: Scripts, Matlab
  • Publisher: Doug Hundley
  • Date: 15-05-2013
  • Size: 10 KB

Develop a Matlab program to demonstrate a neural network autoassociative memory. Show the importance of using the pseudoinverse in reducing cross correlation matrix errors. Show the performance of the autoassociative memory in noise. The results are contained in the Matlab file assoc_mem_demo.m.

  • Platform: Scripts, Matlab
  • Publisher: John Wetters
  • Date: 02-03-2013
  • Size: 881 KB

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

This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2). We didn't use any feature of neural network toolbox..

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

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 info). Because of some architectural features of convolutional networks, such as weight sharing it is imposible to implement it using Matlab Neural Network Toolbox without it's source modifications. That's why this class works almost independently from NN toolbox (coming soon full independence).

  • Platform: Scripts, Matlab
  • Publisher: Mihail Sirotenko
  • Date: 27-01-2013
  • Size: 1311 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

  • Platform: Scripts, Matlab
  • Publisher: Marcelo Fernandes
  • Date: 23-04-2013
  • Size: 195 KB

A Ruby extension that provides a 2-Layer Back Propagation Neural Network, which can be used to categorize datasets of arbitrary size. The network can be easily (re-)stored to/from the hard disk..

  • Platform: Scripts, Ruby
  • Publisher: Florian Frank
  • Date: 26-06-2013
  • Size: 20 KB

Generic Neural Network. It's a class to build almost any type of Neural Networks, from a simple Perceptron to a SOM, supporting recurrence..

  • Platform: Scripts, Ruby
  • Publisher: Rafael C. P.
  • Date: 25-04-2013
  • Size: 10 KB
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