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Neural Networks Matlab From Title 

1. 
neural networks 
Multimedia & Design/Graphic & Design
... Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the backpropagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes for any set of input values.neural networks is a handy, easy to use tool specially designed to visually demonstrate the feedforward backpropagation algorithm. There is visual feedback for weight adjustments and error analysis. neural Network features ...




2. 
AI neural networks 
Utilities/Other Utilities
... Do you want a neural network OO class?With documentation?Do not go further... You found it!you have here a complete library of different neural network in an OO encapsulation.Starting from adaline, back propagation, Kohonen ...




5. 
NeuralCode neural networks Trading 
Business & Productivity Tools/Investment Tools
... NeuralCode is an industrial grade Artificial neural networks implementation for financial prediction. The software can take data like the Opening price, High, Low, Volume and other technical indicators for predicting or uncovering trends and patterns. It is designed to utilize Supervised Learning with MultiLayer Perceptrons and Optimized Back Propagation for complex learning. In mathematical theory, under suitable conditions, the iterative procedure of adjusting the weights causes the networks ...




7. 
NeuroSolutions for matlab 
Programming/Code Management Tools
... 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 (www.neurosolutions.com) inside matlab and Simulink. The toolbox features 15 neural models, 5 learning algorithms and a host of useful utilities integrated in an easytouse interface, which requires ?next to no knowledge? of neural networks to begin using the product. The toolbox is also integrated with NeuroSolutions, ...




8. 
SEfitmatlab 
Utilities/Other Utilities
... matlab package for stretched exponential fit of discrete values, such as the number of requests to each video file in a video system, the number of posts by each user in a social network (e.g., a blog site), etc. ...




9. 
Quaternion toolbox for matlab 
Utilities/Mac Utilities
... Quaternion toolbox for matlab is a toolbox that extends matlab to handle matrices of quaternions with real and complex components. Many matlab operators and functions are overloaded to work for real quaternion and complexified quaternion matrices. ...






Neural Networks Matlab From Short Description 

1. 
NN50.DLL 
Programming/Other
... Artificial neural networks are computational paradigms which implement simplified models of their biological counterparts, biological neural networks. Biological neural networks are the local assemblages of neurons and their dendrite connections that form the brain. The implementation of neural networks for brainlike computations like patterns recognition, decisions making, motory control and many others is made possible by the advent of large scale computers in the late 1950's. Conventional ...




2. 
Tremani neural Network 
Utilities/Mac Utilities
... The Tremani neural Network allows you to build, train and employ neural networks in PHP. It is easy to use and set up, and does not rely on external software to be installed on your webserver. ...




3. 
DDLab 
Utilities/Other Utilities
... Interactive graphics software for Cellular Automata, Random Boolean networks, and multivalue Discrete Dynamical networks  spacetime patterns and basins of attraction  to study emergence, complexity, neural and genetic networks. www.ddlab.org ...




4. 
NeuroSolutions 
Programming
... This installation program includes evaluation versions of three products for neural network design and development: NeuroSolutions, NeuroSolutions for Excel and the Custom Solution Wizard. NeuroSolutions is a highly graphical neural network development tool for Windows. This leading edge software combines a modular, iconbased network design interface with an implementation of advanced learning procedures, such as recurrent backpropagation, backpropagation through time and genetic optimization. ...




5. 
GNNS  GNNS neural Network Simulator 
Utilities/Other Utilities
... GNNS  GNNS neural Network Simulator, is both a set of libraries and an interface for creating and learning neural networks. It is aimed to support as many network typs and learning algorithms as possible. GNNS is meant to support different platforms. ...




6. 
Fast Artificial neural Network Library 
Utilities/Other Utilities
... Fast Artificial neural Network Library (FANN) implements multilayer artificial neural networks in C. It is crossplatform, easy to use, versatile, well documented and fast. C++, PHP, PERL, Python, Delphi, .NET, Mathematica bindings and a GUI is available ...




7. 
aureservoir 
Utilities/Other Utilities
... Aureservoir is an opensource C++ library for analog reservoir computing neural networks (echo state networks) with bindings to various scientific computing packages. ...




8. 
COMPONET 
Utilities/Other Utilities
... COMPONET libraries are aimed at COMPonentization of neural networks. For developers of Artificial Intelligence Systems who wish to integrate neural networks into their software platform. For help Please Join http://groups.yahoo.com/group/componet/ ...




9. 
OpenNeuron 
Utilities/Mac Utilities
... OpenNeuron is a neural networks implementation written in Java. Currently supports only Kohonen Network model, but API is designed to be easily extended to model other network types. This implementation was used for face thermal pictures recognition. ...




10. 
JGod 
Utilities/Mac Utilities
... neural networks evolution (genetic algorithm) written in Java. Now neural networks try to playing Go, TicTacToe. ...






Neural Networks Matlab From Long Description 

1. 
GINNet 
Multimedia & Design/Graphic & Design
... GINNet, also known as the Graphical Interface for neural networks was developed as a decisionmaking platform written in Java. It has been designed in order to favorize the development and use of neural networks. It was create so that it could make, neural networks, teaching and evaluation easier. ...




2. 
DynNet 
Programming/Components & Libraries
... DynNet is built as a Java library that contains basic elements that are necessary in order to build neural networks. neural network classical models are already available (Multilayer perceptron, Kohonen selforganizing maps, neural gas, growing neural gas, etc.). ...




3. 
OLSOFT neural Network Library 
Programming/Components & Libraries
... OLSOFT neural Network Library is a fully selfcontained 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 (SelfOrganizing Feature Map). The library makes integration of neural networks functionality into your own applications easy and seamless. ...




4. 
Sharky neural Network 
Educational/Mathematics
... 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. ...




5. 
SwingNN 
Business & Productivity Tools/Math & Scientific Tools
... Your data is imported into a grid and used to train a neural network. The input values are forced to swing beyond their limits. The output values are forecasted by the neural network. A new neural network is created using the new inputs and forecasted outputs. The neural networks are compared. The inputs are adjusted and another new neural network is created. The process continues until a new neural network agrees with the original about the forecasts. The forecasts are added to the ...




6. 
EasyNNplus 
Communications/EMail Tools
... EasyNNplus is a neural network system for Microsoft Windows. It makes the creation of neural networks easy. It allows the user to produce multilayer neural networks from a grid or from text files and images. The user can produce training, validating and querying files using the facilities in EasyNNplus or using any editor, word processor or spreadsheet that supports text files. EasyNNplus can learn from training data and can self validate while learning. It can be queried from a file or ...




7. 
JustNN 
Educational/Other
... JustNN is a neural network system for Microsoft Windows. It makes the creation of neural networks easy. It allows the user to produce multilayer neural networks from a grid or from text files and images. The user can produce training, validating and querying files using the facilities in JustNN or using any editor, word processor or spreadsheet that supports text files. ...




9. 
pymatlab 
Utilities/Other Utilities
... A Python interface to matlab. Pymatlab lets python users interface and communicate with matlab from python. Pymatlab makes it easier for users to migrate from a large matlab codebase to python scripts  one step at a time  by using old matlab script <br>Put a numpy array at matlab's workspace.<br>Get a matrix from matlab's workspace into a numpy array.<br>Run matlab code from a python string ...




10. 
Neuroph for Windows 
Educational/Other
... Neuroph is lightweight Java neural network framework to develop common neural network architectures. It contains well designed, open source Java library with small number of basic classes which correspond to basic NN concepts. Also has nice GUI neural network editor to quickly create Java neural network components. It has been released as open source under the Apache 2.0 license, and it's FREE for you to use it. Neuroph simplifies the development of neural networks by providing Java neural ...






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