Search Results for "neural network training"

AthenaCentral is used since 2006 by health club chains, fitness centers, gyms and many membership organizations. It offers multilingual, multi-country and multi-center functionality. Its flexibility and power enables you to quickly adapt to environmental as well as organizational changes. The system includes components for integrating additional technologies such as access control (barcode, RFID, fingerprints, ...). It is fully compatible iso20022 (financial information transactions)...

... function. The "Reset" button sets the ACTIVE network to whatever architecture is displayed. In order to change which network is displayed, use the "Critic [1] or Generator [0]" checkbox. To begin training the network, press the "Train" button, after which you may use the "Clear" button to reset the average error and average percent correct value textboxes. In order to use the project on an alternative dataset, one must replace the MNIST files, then rewrite IO.FindNextNumber.

DSTK - Data Science Toolkit 3 is a set of data and text mining softwares, following the CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and algorithms. It is based on the old version DSTK at https://sourceforge.net/projects/dstk2/ DSTK Engine is like R. DSTK ScriptWriter offers GUI to write DSTK script. DSTK Studio offers SPSS Statistics like GUI...

The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.

Multiple Back-Propagation is an open source software application for training neural networks with the backpropagation and the multiple back propagation algorithms. Currently this project is also hosted at http://code.google.com/p/multiplebackpropagation

Use Neural Network to recognize printing letters by using some sample letters for learning

This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.

Fully Connected Neural Network with Neurons with Multidimensional Activation Function.

NDN Backprop Neural Net Trainer implements the backpropagation functionality subset of the open source NeuronDotNet object library in a generic user friendly application.

This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer, you...

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read...

A library written in C# for encoding and decoding animated Graphics Interchange Format (GIF) images. Based on NGif http://www.codeproject.com/KB/GDI-plus/NGif.aspx. Includes sample apps for encoding and decoding GIF files.

QTrader is a stock and commodity analysis software designed in C#. It will assist with analysis of the various financial markets and provide a visual medium to assist in making decisions. QTrader will be designed to integrate with MT4 and MT5. Some of the features planned for QTrader: - Artificial Neural Networks for pattern recognition - Find stock trades based on leading criteria for stock market trades - Automatic loading of stock data from live sources - Ability to connect...

Toroid experiment is a try to create a model of life where animals evolving driving by genetic algorithms and each animal has it's own brain which is a neural network. For detailed description look at project page http://toroid-world.sourceforge.net

This is mainly just an interface tweak. Added function of mac address changer. If you have problems getting the mac changer to work, try using a mac address that starts with something other than "00" in the first octet. If you are intersted in learning about network security please check out my Juniper Networks training course at: http://academy.gns3.com/courses/juniper-jncia-intro-to-junos

Medical Datasets (In a text file, with space separated values) can be loaded to the system. By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.

System to organize training and contests by ACM rule.

NeuronDotNet is a neural network engine written in C#. It provides an interface for advanced AI programmers to design various types of artificial neural networks and use them.

The source code for my(Ben Thompson) 10th grade neural network science fair project. UPDATE: Got 2nd in the regional fair, 3rd in the state, 4th in international science fair.

ASP.NET2.0 application for users to record progress in their weight training routines. Has a graphical reporting tool and additional Administrator functions.

‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.

This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.

NxNet is an implementation of a BPN neural network written in C#. NxNet allows the user to configure the neural net, train and query the trained net. NxNet 2.0 introduces a batch query capability. Requires .Net Framework 2.0 be installed also.

rifle training and competition manager

AI based stock technical analysis system. The aim of the system is to perform standard technical anlaysis on stock prices and volumes and use ANN (Artificial Neural Network) to make entry/exit recommendations.