Software Downloads for "Vba Code Classification Neural Network"

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

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..

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

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..

VBA Code Compare allows you to compare and merge any Visual Basic code embedded into a VBA project (macros, sheet code, module code etc.). VBA Code Compare uses direct access for working with VB modules. Thus, you don't have to export the source code to a file for comparing and import the edited code back. You can use this tool for comparing two versions of the same module or for working with the source code when several authors change the code simultaneously. VBA Code Compare allows you to download the source code of two modules, compare them, synchronize (merge) different parts of code, edit the code before and after comparing and save the changes.

Protect VBA Code protects VBA projects from password cracking in MS Excel, Word, PowerPoint, Access, Publisher, Outlook, FrontPage, PowerPoint and Project files.

There are several password recovery tools on the Internet somebody could misuse to get your code if you protect it with a VBA password regardless of its length and complexity.

FEATURES:

* Offers much better protection then any VBA password.
All known (to us) VBA password recovery utilities are unaware of the protection and/or can not remove it.

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

.

At the present time, computer system who have grown significantly, has been piece of the technological development in society, living at the present time without systems is like stop development, like they are the very important tool in some activity of everyday living, they assist the people to maintain the accounts, expand new and latest technologies and join them to the entire world. A conservative computer is able of performing numbers of operations for each second yet, it is not able of making any type of decisions by itself, in some other words a system cannot execute tasks by itself, it needs to be well programmed, but one program is imperfect to do just a definite task, and for numerous tasks needs numerous programs.

  • Platform: Windows
  • Publisher: OLSOFT
  • Date: 18-07-2016
  • Size: 3290 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: Matlab, Scripts
  • Publisher: Alan Jennings
  • Date: 14-01-2013
  • Size: 41 KB

This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn. The good classification performance can be obtained for a certain class of data distributions. Other classifiers must be used in the cases where the PPNN classifiers cannot get good performances..

  • Platform: Matlab, Scripts
  • Publisher: Gabriele Lombardi
  • Date: 17-04-2013
  • 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

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

This unique application is for all students of Neural Network & Fuzzy Systems across the world. It covers 149 topics of Neural Network & Fuzzy Systems in detail. These 149 topics are divided in 10 units.

Each topic is around 600 words and is complete with diagrams, equations and other forms of graphical representations along with simple text explaining the concept in detail.

The USP of this application is "ultra-portability". Students can access the content on-the-go from any where they like.

  • Platform: Android 2.x, Android 3.x, Android 4.4, Android 4.x
  • Publisher: faadooengineers.com
  • Date: 28-03-2014
  • Size: 2150 KB

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 VBA Code Profiler System (VBACP) provides a system to profile Microsoft VBA based applications. This will allow analysis of your code for performance and path tracking throughout your VBA project. The VBACP system will operate on any Microsoft VBA based application from Office 97, 2000, and XP. Every procedure and function can be profiled to ensure the most comprehensive coverage of your code. You can see how much time is spent in each routine, and which routines are call more frequently, even which routines have not be called at all.

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

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