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Neuroph is lightweight Java NeuralNetwork Framework which can be used to develop common neuralnetwork architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
...The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics.
libVMR is based on the most popular neuralnetwork model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR).
The library has been designed to learn from data sets. Typical applications here are pattern recognition ( binary classification).
A forensic file identification tool using neural networks
Just carved a bunch of bytes and have no idea what they could be? Maybe ANNFiD can help.
ANNFiD uses neuralnetwork to identify byte patterns. It can be trained and has a GUI to help in the process. The tool is still on a very early stage, but could improve exponentially with the help of the developer community
This is ANN trained application to predict digits from 0 - 9.
It can predict digits from 0-9 with Artificial NeuralNetwork. I trained ANN with 100 samples of each digit. It takes input of 20x20 pixel image and predicts it with NeuralNetwork. It may predict wrong digit due to very low sample data but it work 90% correctly.
Note: JRE 1.6 is required to run this application.
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jFAN2 project develops a Java API to use a neuralnetwork (neuro-fuzzy) called FAN (Free Associative Neurons). Its an reprogramed version of jFAN "https://sourceforge.net/projects/jfan/".
Cognity is an object-oriented neuralnetwork library for Java. It's goal is to provide easy-to-use, high level architecture for neuralnetwork computations along with reasonable performance.
This project contains weka packages of neural networks algorithms implementations like Learning Vector Quantizer (LVQ) and Self-organizing Maps (SOM). For more information about weka, please visit http://www.cs.waikato.ac.nz/~ml/weka/
3-layer neuralnetwork for regression and classification with sigmoid activation function and command line interface similar to LibSVM.
Quick Start: "java -jar nen.jar"
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Program to performing the complete cycle of neural networks analysis: preparing data, choosing neuralnetwork (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.
Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java NeuralNetwork Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.