Matlab Neural Genetic


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Genetic System Component (ActiveX)  v.1.0

Genetic System can be used to solve optimization problems. This component can be used to construct binary genetic system, it provides user with appropriate functionality to control the generation.

Following features are provided:

Unlimited ...

Neural Network Component (ActiveX)  v.1.0

Artificial Neural System Component is designed for researchers in the fields of machine learning, it can be used to construct Back Propagation Neural Network and to train it with provided samples, then finally recall it with appropriate data.

This ...





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Genetic Code  v.1.0

Study the genetic code with this tool. Genetic Code can display the universal genetic code, the one- and three-letter amino acid codes, the biochemical structures of the amino acids, and amino-acid similarity (Dayhoff matrix).

Artificial Neural Network  v.1.0

Create artificial neural networks. Artificial Neural Network 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 ...

Neural Networks  v.4.3.7

Create neural networks fast and easy. 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 ...

Desktop Genetic Algorithms  v.PreAlpha

Desktop Genetic Algorithms is a software for analyzing and calculating genetic algorithms. Mainly include the codes of genetic algorithm, interative genetic algorithm, that are written in Java Applcations also included such as function optimization, simple ...

Genetic Optimizer  v.1.00

Genetic optimizing of functions with two variables, help you with the genetic optimizing of functions with two variables. Genetic optimizing made easy.

MATLAB  v.1.0.0.0

Follow MATLAB on Facebook through this third party app, and see the cool projects involving MATLAB and Simulink, and also get tips and tricks on the products!

(This app requires the phone to have access to Facebook to work properly.) ...

BioSig for Octave and Matlab  v.2.82

BioSig consists of some (more or less) coherent parts, for more details take a look at the project page: BioSig for Octave and Matlab (biosig4octmat): A toolbox for Octave and Matlab with powerful data import and export filters, feature extraction ...

An Object Oriented Neural Engine  v.2.0.0rc1

Joone is a neural net framework written in Java(tm). It's composed by a core engine, a GUI editor and a distributed training environment and can be extended by writing new modules to implement new algorithms or architectures starting from base component ...

Bayesian Surprise Toolkit for Matlab  v.0.15b

Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/ ...

EEG/MRI TOOLBOX FOR MATLAB  v.2.0

This is a public release of a Matlab toolbox for working with data from electroencephalography (EEG/ERP) and magnetic resonance imaging (MRI). It contains functions to process and visualize ERP/MRI data and associated electrode positions.

Galileo: a Distributed Genetic Algorithm  v.1.0

Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality.

Geeks Artificial Neural Network  v.1.4

Geeks Artificial Neural Network (G.A.N.N) is an open source project that started with the philosophy of being a new more advanced A.N.N that works as a platform for other applications. In other words, G.A.N.N should be considered as a "Black Box".

Genetic Algorithms Framework  v.0.7.0

This is a cross-platform framework for using Genetic Algorithms for solutions. Written in Java and uses convinient plug-in features for every phase in the genetic development, while maintaining an easy-to-use API for easy integration into applications.

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