MathWorks - Neural Network Toolbox
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The Neural Network Toolbox provides comprehensive support for the design, implementation, and simulation of many proven network paradigms and is completely extensible and customizable. Its consistent methodology and modular organization facilitate research, provide a flexible framework for experimentation, and simplify customization.
Updated Jul 01, 2004
by Hillary
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(16 Ratings)
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| Neural Network M-files
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User contributed neural network m-files from the MATLAB Central File Exchange.
Submitted Apr 18, 2000
Updated Oct 06, 2006
by mahendra reddy
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(60 Ratings)
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Total Visits: 6419
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| NeuroSolutions Neural Network Toolbox
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The NeuroSolutions for MATLAB neural network toolbox enables users to leverage the power of neural networks inside MATLAB. The toolbox features 15 popular neural models (MLP, SVM, Time-lag recurrent, Feed forward etc., ), 5 learning algorithms (Conjugate Gradient, Momentum etc.,) and a host of useful utilities integrated in an easy-to-use interface, which requires “next to no knowledge” of neural networks to begin using the product.
Submitted Jun 28, 2004
by Madan Bharadwaj
Updated Oct 06, 2006
by mahendra reddy
Rating:
(9 Ratings)
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Total Visits: 3803
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| ANN tutorial
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Brief but good tutorial for Artifical Neural Networks with MatLab.
Submitted Feb 21, 2006
by Javier Bilbao
Updated Jan 12, 2007
by swapna
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(7 Ratings)
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Total Visits: 3184
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| Neural Network backprop algorithm in MATLAB
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A starting point for those wishing to develop neural network algorithms in MATLAB
Submitted Mar 27, 2006
by phil
Updated Mar 20, 2007
by Farhan Mahmood
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(2 Ratings)
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Total Visits: 1967
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| Netlab Neural Network Software
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The Netlab simulation software is designed to provide the central tools necessary for the simulation of theoretically well founded neural network algorithms for use in teaching, research and applications development. It consists of a library of MATLAB functions and scripts based on the approach and techniques described in Neural Networks for Pattern Recognition by Christopher M. Bishop, (Oxford University Press, 1995). The functions come with on-line help, and further explanation is available via HTML files: the table of contents is contained in index.htm.
Updated Oct 06, 2006
by mahendra reddy
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(6 Ratings)
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Total Visits: 1682
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| SOM Toolbox
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SOM Toolbox is a free function library for MATLAB 5 implementing the SOM algorithm, visualization and analysis.
Submitted Feb 22, 2000
Updated Feb 22, 2005
by Ashraf Ghania
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(1 Ratings)
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Total Visits: 1381
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| Computational Intelligence
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Aims and objectives of the course: Knowledge of the most important concepts and methods form the area adaptive filters, machine learning and neural networks. Includes tutorial on the MATLAB Neural Networks Toolbox.
Submitted Jun 08, 2005
by MATLAB Central Admin
Updated Jun 13, 2005
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(6 Ratings)
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Total Visits: 761
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| Multisurface Method Tree with MATLAB
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Brief Overview of the MSM-T Algorithm and Generation of the Decision Tree
Submitted Jun 13, 2005
by MATLAB Central Admin
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(2 Ratings)
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Total Visits: 675
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| MCMC Methods for MLP and GP and Stuff
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MCMCstuff toolbox is a collection of Matlab functions for Bayesian inference with Markov chain Monte Carlo (MCMC) methods. Includes code and demonstrations for neural networks and Gaussian processes for classification and regression.
Submitted Sep 30, 2006
by Aki Vehtari
Updated Oct 02, 2006
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(2 Ratings)
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Total Visits: 667
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| Recurrent Self-Organizing Maps Toolbox
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This package contains a few functions to create, train, and simulate RSOM and RecSOM type of recurrent self-organizing maps. It currently depends on Neural Networks Toolbox of MATLAB.
Submitted Jan 04, 2006
by Amir Reza Saffari Azar
Updated Jan 30, 2008
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Total Visits: 587
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| Neural Network software
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Alyuda Research is one of the world’s leading developers of neural network-based and trading software for enterprises and individuals.
Submitted Feb 12, 2008
by Iryna Gordeyeva
Updated Feb 27, 2008
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Total Visits: 568
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| NNCTRL Toolkit
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An add-on for the 'NNSYSID-toolbox'. The toolkit consists of a set of functions for design and simulation of neural network based control systems.
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(3 Ratings)
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Total Visits: 528
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| The Spider Tutorial
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The spider is intended to be a complete object orientated environment for machine learning in MATLAB. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots. This gives all the power of objects (reusability, plug together, share code) but also all the power of MATLAB for machine learning research.
Submitted Jun 07, 2005
by MATLAB Central Admin
Updated Jun 13, 2005
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Total Visits: 508
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